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NP8nAcQB7AAUACUAfwC4AABFWLgABS8buQAFAAg+WbgAAEVYuAALLxu5AAsACD5ZuAAARVi4AA0vG7kADQAGPlm4AABFWLgAEi8buQASAAQ+WboACAAFABIREjm6AA8AEgAFERI5uQAaAAH0uAAPELkAHQAB9LgACBC5AB4AAfS4AAUQuQAhAAH0MDE3ND4CMzIWFzM3MxEjNTcOASMiJjcUHgIzMjY3ES4BIyIOAjQiO00rLEEiAgUlLAIgTzBbbC8VKDsmKEkmJkMjJD4tGu86XkIjHhos/Ue5XR0sgXowTjcfKSYBHSIcITlPAAEAXAAAAUEB7AASAFIAuAAARVi4AAYvG7kABgAIPlm4AABFWLgAAC8buQAAAAg+WbgAAEVYuAASLxu5ABIABD5ZugACAAAAEhESObgABhC4AA3cuAACELkAEAAB9DAxEzMXMz4BMzIWFwcuASMiBgcRI1wmBAMYRSsOFgwKDBIOIEccLAHgWS04BAYoBQM3RP65AAABACD/9AFyAewAMwBJALgAAEVYuAAVLxu5ABUACD5ZuAAARVi4ADAvG7kAMAAEPlm5AAMAAfS6AAsAMAAVERI5uAAVELkAHAAB9LoAJgAVADAREjkwMTceATMyNjU0LgInLgM1ND4CMzIWFwcuASMiDgIVFB4CFx4DFRQOAiMiJic6H0Y0OTkVIikVGzcsGxQoOSYmSRoYGDYlHCgbDRMgKRUcOC0cFSo8JzZaIFcaIzkmFiIYEggKFh8rHxovIxQcFh8SGQ8YIBAVHRYRCAsWIC8jGzElFicbAAAAAQAc//QBLQJrABsARQC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAWLxu5ABYABD5ZuAAGELkACQAB9LgAANC4AAYQuAAD0LgAFhC5AA8AAfQwMRMjNT8BMxUzFSMRFB4CMzI2NxcOASMiLgI1Z0tMBiaLiwcSHxkOIQ0MFSoPIy4cCwG6IgSLiyb+xxclGw8JBiQIChUmNiAAAAAAAQBV//QBtQHgABQAZQC4AABFWLgAAC8buQAAAAg+WbgAAEVYuAAJLxu5AAkACD5ZuAAARVi4ABEvG7kAEQAEPlm4AABFWLgADC8buQAMAAQ+WbgAERC5AAUAAfS6AA0ACQAMERI5uAANELkACAAB9DAxEzMRFBYzMjY3ETMRIycjDgEjIiY1VSwzOitGKiwlBQIjTjJLRgHg/tJNSS8zAWL+IFAqMlpeAAAAAAEADAAAAaYB4AANAEAAuAAARVi4AAAvG7kAAAAIPlm4AABFWLgACi8buQAKAAg+WbgAAEVYuAANLxu5AA0ABD5ZugAFAAAADRESOTAxEzMTHgEXMz4BNxMzAyMMMGwLGgsEDBkMbC2yNAHg/tMjRiEhRiMBLf4gAAEAGAAAApUB4AAhAHYAuAAARVi4AAAvG7kAAAAIPlm4AABFWLgACi8buQAKAAg+WbgAAEVYuAAULxu5ABQACD5ZuAAARVi4ACEvG7kAIQAEPlm4AABFWLgAFy8buQAXAAQ+WboABQAhAAAREjm6AA8AFwAUERI5ugAcAAAAIBESOTAxEzMTHgEXMz4BNxMzEx4BFzM+ATcTMwMjAy4BJyMOAQcDIxgwVgkQCAQIEglXNVcJEgkECBIIVS2KOlQLDwsECBMLUzUB4P7JIT8gID8hATf+ySE/ICA/IQE3/iABKiNDIyNFI/7YAAAAAQAOAAABiQHgABkAWwC4AABFWLgAAS8buQABAAg+WbgAAEVYuAALLxu5AAsACD5ZuAAARVi4ABkvG7kAGQAEPlm4AABFWLgADy8buQAPAAQ+WboABgALAA8REjm6ABQAAQAZERI5MDE3JzMXHgEXMz4BPwEzBxcjJy4BJyMOAQ8BI7GWMU4MGQ4EDRcNSy6VozFVDhwPBA4bDlIv++V6FCcUFCcUeun3gxcsFRUsF4MAAAAAAQAM/yUBqAHgABwARgC4AABFWLgACC8buQAIAAg+WbgAAEVYuAASLxu5ABIACD5ZuAAARVi4ABkvG7kAGQAGPlm5AAMAAfS6AA0ACAAZERI5MDEXHgEzMjY/AQMzEx4BFzM+ATcTMwMOAyMiJzciCBQLLTwSDcUwdAsbDgQLFwpnLb4KHSczIBsWCqoDBUg3KgHp/tIeSCAgSB4BLv3kHjktGwonAAAAAQAbAAABegHgAAkAPQC4AABFWLgAAy8buQADAAg+WbgAAEVYuAAILxu5AAgABD5ZuQAGAAH0uAAA0LgAAxC5AAEAAfS4AAXQMDE3ASM1IRUBIRUhGwEc/QE2/uUBJf6hGAGiJhf+XicAAAD//wAIAAACBgMvAiYABAAAAAcA4QEHAAD//wAIAAACBgMvAiYABAAAAAcA4wEHAAD//wAIAAACBgMvAiYABAAAAAcA5QEHAAD//wAIAAACBgMoAiYABAAAAAcA5wEHAAD//wAIAAACBgMeAiYABAAAAAcA6gEHAAD//wAIAAACBgNgAiYABAAAAAcA7AEHAAAAAgAVAAAC+gKTAAYAFgB8ALgAAEVYuAAOLxu5AA4AED5ZuAAARVi4AA0vG7kADQAEPlm4AABFWLgACS8buQAJAAQ+WboAAgAOAA0REjm6AAoADgANERI5uAAKL7kABgAB9LgACRC5AAcAAfS4AA4QuQAQAAH0ugAVAA4ACRESObgAFS+5ABMAAfQwMSURIw4BDwEFFSE1IwcjASEVIRUzFSMRAZsEHz0gSQIo/qHedzEBbQFu/tn19f8BbDhzPIXXKNnZApMo+Sj+3gD//wA3/zACDwKfAiYABgAAAAcA7gFTAAD//wBhAAAB1AMvAiYACAAAAAcA4QEaAAD//wBhAAAB1AMvAiYACAAAAAcA4wEaAAD//wBhAAAB1AMvAiYACAAAAAcA5QEaAAD//wBhAAAB1AMeAiYACAAAAAcA6gEaAAD//wAHAAAAnQMvAiYADAAAAAYA4XgAAAD//wBTAAAA6QMvAiYADAAAAAYA43gAAAD//wADAAAA7QMvAiYADAAAAAYA5XgAAAD//wAFAAAA6wMeAiYADAAAAAYA6ngAAAD//wBhAAACGwMoAiYAEQAAAAcA5wFDAAD//wA3//QCVgMvAiYAEgAAAAcA4QFGAAD//wA3//QCVgMvAiYAEgAAAAcA4wFGAAD//wA3//QCVgMvAiYAEgAAAAcA5QFGAAD//wA3//QCVgMoAiYAEgAAAAcA5wFGAAD//wA3//QCVgMeAiYAEgAAAAcA6gFGAAAAAwA4/+kCWQKqAAsAFwAzAIUAuAAARVi4AC4vG7kALgAQPlm4AABFWLgAIC8buQAgAAQ+WboAAAAgAC4REjm5AAMAAfS6AAsALgAgERI5ugAMAC4AIBESObgALhC5AA8AAfS6ABcAIAAuERI5ugAYAC4AIBESOboAIwAgAC4REjm6ACYAIAAuERI5ugAxAC4AIBESOTAxNx4BMzI+AjU0Ji8BLgEjIg4CFRQWFwEeARUUDgIjIiYnByc3LgE1ND4CMzIWFzcXsR1NLzJSOyAbGRcdSi0yUzogGRcBdyIlKEhkOzZcI0EcRiAkKEhkPDRYIz0dZSIlK09vRT9mJh4fISpNbkQ9ZSYBuSx6S05/WjEnJVcWXi14Sk59WS8kIlEWAAAAAAIANwAAAxICkwAUACEAVQC4AABFWLgABS8buQAFABA+WbgAAEVYuAAQLxu5ABAABD5ZuAAFELkAHAAB9LgAB9C6AAwABQAQERI5uAAML7kACgAB9LgAEBC5ABsAAfS4AA7QMDETND4CMyEVIRUzFSMRIRUhIi4CNxQeAjsBESMiDgI3J091TgGY/tn19QEx/l1OdU4nMCBDZUU/P0VlQyABTEt4Vi4o+Sj+3igvV3tLQWtOKwJFKktrAAD//wBf//QCGwMvAiYAGAAAAAcA4QE9AAD//wBf//QCGwMvAiYAGAAAAAcA4wE9AAD//wBf//QCGwMvAiYAGAAAAAcA5QE9AAD//wBf//QCGwMeAiYAGAAAAAcA6gE9AAD//wADAAABvAMvAiYAHAAAAAcA4wDfAAAAAgAlAAACOgKTABAAIQBZALgAAEVYuAAhLxu5ACEAED5ZuAAARVi4ABwvG7kAHAAEPlm5AAAAAfS4ACEQuQAKAAH0ugAOACEAHBESObgADi+5AA0AAfS4AA4QuAAe0LgADRC4AB/QMDElMj4CNTQuAisBFTMVIxETMh4CFRQOAisBESM1NxEBCkNgPx4eP2BDZqOjakxxSyQkSnFMmVFRJytOa0FAakwq/yH+2wJsLlZ4S0t7Vy8BTB8CASYAAAAAAgBhAAACAAKTAA4AFwA5ALgAAEVYuAAALxu5AAAAED5ZuAAARVi4AA4vG7kADgAEPlm7ABcAAQAMAAQruwACAAEAFgAEKzAxEzMVMzIeAhUUBisBFSM3MjY1NCYrARFhLoY3Vz0gfG+GLqllYmNkewKTdRQrRjNhX6bNSFFSP/7WAAD//wBB//QBowLEAiYAHgAAAAcA4AEGAAD//wBB//QBowLEAiYAHgAAAAcA4gEGAAD//wBB//QBowLEAiYAHgAAAAcA5AEGAAD//wBB//QBowKeAiYAHgAAAAcA5gEGAAD//wBB//QBowKfAiYAHgAAAAcA6QEGAAD//wBB//QBowLIAiYAHgAAAAcA6wEGAAAAAwBB//QC6gHsABAASQBSAJsAuAAARVi4ABYvG7kAFgAIPlm4AABFWLgAHC8buQAcAAg+WbgAAEVYuAA5Lxu5ADkABD5ZuAAARVi4ADEvG7kAMQAEPlm4ADkQuQADAAH0ugBBADkAFhESObgAQS+5AAwAAfS6ACIAHAAxERI5uAAiL7gAMRC5ACgAAfS4ABYQuQBGAAH0uAAcELkATQAB9LgAIhC5AFIAAfQwMTcUFjMyPgI3LgE1Jw4DAz4DMzIWFz4BMzIWFRwBByEUHgIzMjY3Fw4DIyIuAicOASMiLgI1NDY3NC4CIyIGBwU0JiMiDgIHbzwpEy4vLhULCgFGYj4cFg0kLTMbO0UMGlc2VV0C/rQaLj8kJzsbEw4eJCoaIDQqIQ0wbS0dMicWlpsIGS0jLU8YAlRJQR41KRsEejQsDBgjFhZBIhsJGiQuARgJFhINQTc3QXRqCRIJLUw3HxcUIwkQDggRHCMTLjUQIDEiUFQSGzcrGyYSgV1dGzFFKQAA//8ANP8wAacB7AImACAAAAAHAO0BCQAA//8ANP/0Ab0CxAImACIAAAAHAOABBQAA//8ANP/0Ab0CxAImACIAAAAHAOIBBQAA//8ANP/0Ab0CxAImACIAAAAHAOQBBQAA//8ANP/0Ab0CnwImACIAAAAHAOkBBQAA//8AGgAAAKoCxAImAGcAAAAGAOByAAAA//8AOgAAAMoCxAImAGcAAAAGAOJyAAAA//8AAAAAAOQCxAImAGcAAAAGAORyAAAA/////wAAAOUCnwImAGcAAAAGAOlyAAAAAAEAXAAAAIgB4AADACUAuAAARVi4AAAvG7kAAAAIPlm4AABFWLgAAi8buQACAAQ+WTAxEzMRI1wsLAHg/iAAAP//AFwAAAG/Ap4CJgArAAAABwDmARsAAP//ADT/9AHjAsQCJgAsAAAABwDgAQsAAP//ADT/9AHjAsQCJgAsAAAABwDiAQsAAP//ADT/9AHjAsQCJgAsAAAABwDkAQsAAP//ADT/9AHjAp4CJgAsAAAABwDmAQsAAP//ADT/9AHjAp8CJgAsAAAABwDpAQsAAAADAC7/6gHpAfUACQATAC4ASQC4AABFWLgAKS8buQApAAg+WbgAAEVYuAAcLxu5ABwABD5ZugAAABwAKRESObkAAgAB9LoACgApABwREjm4ACkQuQAMAAH0MDE3FjMyPgI1NC8BJiMiDgIVFBcBHgEVFA4CIyInByc3LgE1ND4CMzIWFzcXmS9DJD8uGiQULkUkPy0aJAEqGBwjO08rUjs2GjoYHCM7TisoSR02GkwyHzhOL1I4GzMfOU8vUTgBNCBWNjxdQCI4QhVGIFQ2PF9AIhwcQRUAAAADADT/9AMrAewAEwA7AEQAcQC4AABFWLgAGS8buQAZAAg+WbgAAEVYuAA3Lxu5ADcABD5ZuQAFAAH0uAAZELkADwAB9LgAGRC4AB/QuAA3ELgAMdC6ACQAHwAxERI5uAAkL7gAMRC5ACoAAfS4AB8QuQA/AAH0uAAkELkARAAB9DAxNxQeAjMyPgI1NC4CIyIOAgc0PgIzMhYXPgEzMhYVFAchFB4CMzI2NxcOASMiJicOASMiLgIlNCYjIg4CB2IZLD0jJD0rGRkrPSQjPSwZLiI7TCo6ZhoaXzpVYgP+rxsuQCQnPhsTHUU2P2QaHGA/Kkw7IgLNTUAeNiobBO8vTjgfHzhOLzBOOR8fOU4wPF9AIkdHQkx0ahISLUw3HxcUIxEeTEFGRyJAXVldXRsxRSkAAAEAXP/0AgEC2QA5AGQAuAAARVi4AAMvG7kAAwASPlm4AABFWLgAOS8buQA5AAQ+WbgAAEVYuAAZLxu5ABkABD5ZugANABkAAxESObkAIAAB9LoAJQAZAAMREjm6ADEAGQADERI5uAADELkANAAB9DAxEzQ2MzIeAhUUDgIVFB4EFRQOAiMiJic3HgEzMj4CNTQuBDU0PgI1NCYjIgYVESNcXU4hMyQTHyUfHy82Lx8WJzUgJ0QdFh01IBkmGQ0fLjcuHx8kHy8wOUUsAhRdaBUkMRwnNy8vHh0kGxokNioeMiYVHBchFxcRGyQTIywfGSAtJCQ0LzEiLDhUWv37AP//AFX/9AG1AsQCJgAyAAAABwDgAQgAAP//AFX/9AG1AsQCJgAyAAAABwDiAQgAAP//AFX/9AG1AsQCJgAyAAAABwDkAQgAAP//AFX/9AG1Ap8CJgAyAAAABwDpAQgAAP//AAz/JQGoAsQCJgA2AAAABwDiAOUAAP//AAz/JQGoAp8CJgA2AAAABwDpAOUAAAACADz/9AHWAtQAFQA8AFkAuAAARVi4ADcvG7kANwASPlm4AABFWLgAIC8buQAgAAQ+WbsAKgABAAwABCu6ADMAMAADK7gAIBC5AAAAAfS4ADAQuAAW0LgAMxC4ADfcuAAzELgAOtAwMSUyPgI1NCcuAyMiDgIVFB4CEx4DFRQOAiMiLgI1ND4CMzIWFy4BJwcnNy4BJzceARc3FwELKTsnEwMTJyYmEyk9KhUaLDxlHjEkFB41Sy0oSzkjHjdMLitMHQ48Ko4PhBw+IRYlRSCODxsjPFIvIB4cJBQHHjNDJSpHMxwCRB5JV2g9PGJFJSA7VjYxUzohJiZKaipKHEQYKRMeFC4dShsAAAAAAgBc/ycB7ALPABYAJwBXALgAAEVYuAAILxu5AAgACD5ZuAAARVi4AAIvG7kAAgASPlm4AABFWLgAAS8buQABAAY+WbgAAEVYuAASLxu5ABIABD5ZuQAaAAH0uAAIELkAJAAB9DAxFyMRMx0BPgEzMh4CFRQOAiMiJicVNR4BMzI+AjU0LgIjIgYHiCwsJFItMEkwGCI7TSojRyYqSBwkPiwZESQ6KSRNLNkDqM9bHCsjQFo4PWBDIx4cWIMiHCA6UTEsTDcfKSYAAAAAAQAiAAACKgLbACoAfAC4AABFWLgAFC8buQAUAAg+WbgAAEVYuAAoLxu5ACgAEj5ZuAAARVi4ABAvG7kAEAAEPlm4ACgQuQADAAH0uAAUELgAJNC4AAjQuAAUELkAEQAB9LgADdC4AAnQuAAQELgADNC4ABQQuAAT0LgAKBC4ABjQuQAfAAH0MDEBLgEjIgYdATMVIxEjESMRIxEjNTc1NDYzMhYXBy4BIyIGHQEzNTQ2MzIXAh4PHQ4mJW9vLN4sQUFEPhQpFAwSIhErK94+OSMjAqcIBjk0aCb+RgG6/kYBuiIEWUtNCQkkCQc9OFZrSEgQAAEAIf/0AhAC2wAuAIkAuAAARVi4ABAvG7kAEAAIPlm4AABFWLgAFC8buQAUABI+WbgAAEVYuAAMLxu5AAwABD5ZuAAARVi4AAMvG7kAAwAEPlm4ABAQuQANAAH0uAAJ0LgAEBC4AA/QuAAPL7gAFBC5ABoAAfS4ABAQuAAf0LgAI9C4AAkQuAAk0LgAAxC5ACsAAfQwMSUOASMiLgI1ESMRIxEjNTc1NDYzMhcHLgEjIgYdATM3MxUzFSMRFB4CMzI2NwIQFSsPIy0cC7ssQkI+OSMjDA8dDiYlvAYljIwHEiAZDiENBggKFSY2IAE1/kYBuiIEa0hIECQIBjk0aIuLJv7HFyUbDwkGAAADACT/9AIyAp8ADwAfAEwAjAC4AABFWLgANy8buQA3ABA+WbgAAEVYuAAlLxu5ACUABD5ZuAAARVi4ACAvG7kAIAAEPlm6AEIAIgADK7gAJRC5AAMAAfS6AAYAIgBCERI5ugALACUANxESObgACy+4ABPcuAA3ELkAHQAB9LoALwALABMREjm6AD8ACwATERI5ugBJACIAQhESOTAxNzI2Ny4BJw4DFRQeAgMUFhc+AzU0LgIjIgYBJicOASMiLgI1ND4CNy4BNTQ+AjMyFhUUDgIHHgEXPgE3Mw4BBx4BF+YpSh81YyMWJx4RGCg3IBQRGS4kFQgRGxQsMQF7QUwkWDgnRjMeFyUxGhQYFCQyHjY4Gis3HCNhMyM0ESsUOSgjQB0aJyAweEARJCcrGCE1JRUB9CFHJBIkKCsaEB8YD0D9uRc8JS4ZL0IpITYvKRMqUyYgNicWRDQgNi8rFT92LS1tP0R7MxwlCwAAAgAw//QBrgKLAAsAFwA1ALgAAEVYuAAGLxu5AAYADj5ZuAAARVi4AAAvG7kAAAAEPlm5AAwAAfS4AAYQuQASAAH0MDEXIiY1NDYzMhYVFAYnMjY1NCYjIgYVFBbvXGNjXFxjY1xDT09DQlBQDK2hoKmpoKGtJpWTk5CQk5OVAAABAFQAAAGiAn8ADABDALgAAEVYuAAHLxu5AAcADj5ZuAAARVi4AAwvG7kADAAEPlm5AAEAAfS4AAcQuQAEAAH0uQACAAH0uAABELgACdAwMTczESM1PgE3MxEzFSFUlnInPRcki/6yJwISHgcUDf2oJwAAAAEAJwAAAbECiwAdAD0AuAAARVi4AA8vG7kADwAOPlm4AABFWLgAHC8buQAcAAQ+WbkAGgAB9LgAF9C4AADQuAAPELkACAAB9DAxNz4DNTQmIyIGByc+ATMyFhUUDgIHPgE7ARUhKU92TydDSCxMHR0kVztWXipMbUIaNxra/ngcUH9pWSo8UjAkHCg2YlEwX2l3RgIDKAAAAQAd//QBqwKLADcAUwC4AABFWLgAHy8buQAfAA4+WbgAAEVYuAAyLxu5ADIABD5ZuQAFAAH0ugAPAB8AMhESObgADy+5ABAAAfS4AB8QuQAYAAH0ugAoABAADxESOTAxNx4DMzI+AjU0LgIjNTI+AjU0JiMiBgcnPgEzMh4CFRQGBxUeAxUUDgIjIi4CJzcOIis1ISA3KBYZNlQ8N00vFUY7LUocGiFUOCVALxtFNR40KBceNUcpJj4xJw9tEB0XDhQlNCAhNicWJxYlMx02QSkdHiAuFSc5JT9NEgQGHSo3IipDLxkQGiAQAAACABAAAAHAAn8ACQAUAFcAuAAARVi4ABIvG7kAEgAOPlm4AABFWLgADS8buQANAAQ+WbsADgABAAAABCu4ABIQuAAE3LgAABC4AAnQuAAOELgAC9C4AAkQuAAQ0LgAABC4ABPQMDElNTQ2NyMOAQcDBSMVIzUhNQEzETMBNgICBAwaDrwBel8r/toBKShf5eoWQhYUJhb++Ca/vxoBpv5mAAAAAAEAGv/0Aa8CfwAoAEcAuAAARVi4ABIvG7kAEgAOPlm4AABFWLgAIy8buQAjAAQ+WbkABQAB9LoAGQASACMREjm4ABkvuAAN3LgAEhC5ABQAAfQwMTceAzMyPgI1NCYjIgYHJxMhFSMHPgEzMh4CFRQOAiMiLgInMw4iKjQhIDorGlRIJTUdHxcBJ/8UGTYjKEg0HyM5SScmPTEmD2kPHBYNGS0/J05XFxQTASsn5w8TGDFNNDNPNxwPGR8PAAAAAAIANP/0AbQCiwARADAAQwC4AABFWLgALS8buQAtAA4+WbgAAEVYuAAlLxu5ACUABD5ZuwAdAAEACgAEK7gAJRC5AAAAAfS4AC0QuQAVAAH0MDElMj4CNTQuAiMiBgceAxMuASMiDgIHPgEzMhYVFA4CIyImNTQ+AjMyFhcBBhwvIhQQITUkIlInAxcoO6wVOB8mRDQfASFTLVVdHDA/JGFwJ0FVLi1BGRoZLDsiIjsrGCs1M1M7IQIVGhsgSnlYKTBlYSxJNR6ckmSKViUiHAABACwAAAG1An8ADwAzALgAAEVYuAAHLxu5AAcADj5ZuAAARVi4AAAvG7kAAAAEPlm4AAcQuQAFAAH0uAAJ0DAxMz4DNyE1IRUOAwcjvAQZLkYw/q8BiTlLLRQEMGGhj4NEJxpMjJGeXgAAAAADACj/9AG1AosAEQAjAE0AVwC4AABFWLgANC8buQA0AA4+WbgAAEVYuABJLxu5AEkABD5ZuQAFAAH0ugAPAEkANBESObgADy+4ABLQuAA0ELkAGgAB9LgADxC4ACncuAASELgAPtwwMTcUHgIzMj4CNTQuAicOATc+ATU0LgIjIg4CFRQeAgc0PgI3NS4DNTQ+AjMyHgIVFA4CBxUeAxUUDgIjIi4CVBgqOiMiNycVITdGJTFAzikrEiExHxstIRIdMD3aFyUtFxIhGRAaLT0jKUAtFxIbIA4VKB8UHDNIKyxKNh+mHjMmFhQkMBslMycdDx1PdCFJKhsvJBUSHywaIjElHLcgOC0jDAQMHSUrGiI6KRcZLT0kGjEqIgsEDR4mMiAjPS0aGy9AAAACACv/9AGqAosAEQAwAEMAuAAARVi4ACUvG7kAJQAOPlm4AABFWLgALS8buQAtAAQ+WbsAAAABAB0ABCu4ACUQuQAIAAH0uAAtELkAFQAB9DAxEzI2Ny4DIyIOAhUUHgIHHgEzMj4CNw4BIyImNTQ+AjMyFhUUDgIjIiYn4iJSJwMXKTsnGzAiFBAiNGoVOCAmRDQfASFULVRdHDA/JGBwJ0BWLi1CGAEjLTQzUzsgGSs7IiM7KxjTGhsgSnlYKDBlYStKNB6bkmWKVSYiHAAAAQBD//QAmABPAAsAGAC4AABFWLgACS8buQAJAAQ+WbgAA9wwMTc0NjMyFhUUBiMiJkMaEREZGRERGiEWGBgWFRgYAAABADD/ZQClAE8AEQAYALgAAEVYuAAFLxu5AAUABD5ZuAAL3DAxFz4BNwYjIiY1NDYzMhYVFAYHMCIqAQQIERkaERccOi19Ej0qARYUFBYmITdUGP//AEP/9ACYAc0CJwCGAAABfgAGAIYAAP//ADD/ZQClAc0CJwCGAAABfgAGAIcAAAACAFf/9ACsAp4ABQARACkAuAAARVi4AAEvG7kAAQAQPlm4AABFWLgADy8buQAPAAQ+WbgACdwwMRM1MwcDIwc0NjMyFhUUBiMiJmsuAQYhGhoRERkZEREaAldHR/5ckhYYGBYVGBgAAAIAV/9CAKwB7AAFABEAGAC4AABFWLgADy8buQAPAAg+WbgACdwwMR8BIzUTMzcUBiMiJjU0NjMyFpgBLgYhGhkRERoaEREZd0dHAaSTFxgYFxQYGAAAAAACACX/9AFgAqoAHwArACYAuAAARVi4ACkvG7kAKQAEPlm7ABMAAQAMAAQruAApELgAI9wwMTcmPgQ1NC4CIyIGByc+ATMyHgIVFA4EFwc0NjMyFhUUBiMiJqMGESAoJBgNHCsdJUMZGx1ONCU6KBUZJCkhEwU7GRERGhoRERmzKUM5MjE0HxcrIBMhHxkhLRcpOCEiOTQzNz8mkhYYGBYVGBgAAAIAM/82AW4B7AAfACsAJgC4AABFWLgAKS8buQApAAg+WbsADAABABMABCu4ACkQuAAj3DAxExYOBBUUHgIzMjY3Fw4BIyIuAjU0PgQnNxQGIyImNTQ2MzIW8AURICgkGA0cKx4kQxkcHU8zJTooFRkkKSESBTsZEREZGRERGQEtKUM5MjE0HxcqIRMiHhkgLhcpOCEiOTUyNz8mkxcYGBcUGBgAAQBTAd0AhgK1AAUACwC6AAIABAADKzAxEyczFQcjVAEzCSECcEVFkwAAAP//AFMB3QETArUAJgCOAAAABwCOAI0AAAABADoB4AChAr8AEQANALsABQABAAsABCswMRMOARU2MzIWFRQGIyImNTQ2N6EhIgIGDxkXERQYLSgCqBs2KwESExMVIyA2TBoAAAAAAQA6Ad0AogK8ABEADQC7AAsAAQAFAAQrMDETPgE1BiMiJjU0NjMyFhUUBgc6ISICBg4ZFhEUGS0pAfQbNisBEhMTFSMgNkwaAAAA//8AOgHgAS4CvwAmAJAAAAAHAJAAjQAA//8AOgHdAS8CvAAmAJEAAAAHAJEAjQAA//8AOv9+AKIAXQIHAJEAAP2hAAD//wA6/34BLwBdACcAkQAA/aEABwCRAI39oQAAAAEAKwBIAM0BsAAGAAsAugACAAYAAyswMTc1NxcHFwcriRl7exnpJqEVn6ETAAAAAAEANgBIANgBsAAGAAsAugACAAUAAyswMTcnNxcVByewehiKihj8nxWhJqETAAAA//8AKwBIAVoBsAAmAJYAAAAHAJYAjQAA//8ANgBIAWUBsAAmAJcAAAAHAJcAjQAAAAEAKADmAQQBDQADAA0AuwABAAEAAgAEKzAxEzMVIyjc3AENJwAAAP//ACgA5gEEAQ0CBgCaAAAAAQAoAOgBuAEMAAMADQC7AAEAAQACAAQrMDETIRUhKAGQ/nABDCQAAAEAKADoAvgBDAADAA0AuwABAAEAAgAEKzAxEyEVISgC0P0wAQwkAP//AEMBFQCYAXACBwCGAAABIQAAAAEAKACaAPEBdgATAAsAugAKAAAAAyswMTciLgI1ND4CMzIeAhUUDgKMEyQcEREcJBMTJRwRERwlmg8dKBoZKRwQEBwpGRooHQ8AAAABAAz/iwHo/7EAAwANALsAAAABAAEABCswMQUVITUB6P4kTyYmAAAAAQBY/1EA9wLbAA4ACwC6AAYAAAADKzAxFy4BNTQ2NxcOARUUFhcH3D5GRj4bPDw8PBuvZN2EhN1kEF/fd3ffXxAAAAABACD/UQC/AtsADgALALoABwANAAMrMDEXPgE1NCYnNx4BFRQGBycgPDw8PBs9R0c9G59f33d3318QZN2EhN1kEAAAAAEAYv9oAQICxAAHABcAuwAFAAEABgAEK7sAAQABAAIABCswMRMzFSMRMxUjYqB9faACxB383h0AAQAV/2gAtQLEAAcAFwC7AAAAAQAFAAQruwAEAAEAAQAEKzAxFxEjNTMRIzWSfaCgewMiHfykHQABACP/aAECAsQAMwArALsAAAABAAEABCu7AB4AAQAfAAQruwAQAAEADwAEK7oAKgAPABAREjkwMQUVIyIuAjU0NjU0LgIjNTI+AjU0JjU0PgI7ARUjIgYVFBYVFAYHFR4BFRQGFRQWMwECIhwpHA4IBxMiGhoiEwcIDhwpHCIfLh8GFR4eFQYfLnsdDB0xJjhhNA8eFg4gDhYcDzZhOCYxHQwdMjUxWTYtMgkECTQrNlkxNTIAAAAAAQAV/2gA9ALEADMAKwC7AAAAAQAxAAQruwAWAAEAEwAEK7sAIwABACQABCu6AAoAJAAjERI5MDEXMjY1NCY1NDY3NS4BNTQ2NTQmKwE1MzIeAhUUBhUUHgIzFSIOAhUUFhUUDgIrATU0Lh8GFh0dFgYfLh8iHCkcDggHEyIaGiITBwgOHCkcInsyNTFZNis0CQQJMi02WTE1Mh0MHTEmOGE2DxwWDiAOFh4PNGE4JjEdDB0AAQAJ/2ABYALGAAMAGAC4AABFWLgAAC8buQAAABI+WbgAAtwwMQEzASMBOib+zyYCxvyaAAEAX/8GAIMC7gADAAsAugABAAIAAyswMRMzESNfJCQC7vwYAAEABf9gAV0CxgADABgAuAAARVi4AAAvG7kAAAASPlm4AALcMDETMwEjBSYBMiYCxvyaAAACAF//BgCDAu4AAwAHAAsAugABAAUAAyswMRMzESMXESMRXyQkJCQC7v4pO/4qAdYAAAAAAQBGAc4BRQLIAA4AFAC4AABFWLgABS8buQAFABI+WTAxEzcnNxc3Mxc3FwcXBycHaTdaCV8HIAdfClo2G0BCAeJYJB4aZmUZHiRYFFNTAAACADL/zAGtAqkADwBJABcAuwAxAAEAKgAEK7sARgABABMABCswMSU+ATU0LgInDgEVFB4CEy4BIyIOAhUUHgQVFAYHHgEVFA4CIyImJzceATMyNjU0LgQ1NDY3LgE1ND4CMzIWFwE4JCctQ0wfIiotQ0xNGDUmGSQWCyo+ST4qMSYQEhcnNB00UB0eGjsuLjYqP0k/KjMmDxIQIjIjKkYctREqKSgzJB8UFC4mJzEjHgGLFBoNFRwOISkhHSk8LjI5FRApGxsuIRIjHBwYHjIjIisgHSg6LjA/FA8oGhUqIRUeFwACACr/sAGjApMAAwAQACUAuAAARVi4AAAvG7kAAAAQPlm4AABFWLgADi8buQAOABA+WTAxATMRIwMiLgI1ND4COwERAXUuLlI3XEIkIj5WMywCk/0dAUQXMU84OE8yF/5hAAAAAwAz//QCsgKMABMAJwBFADMAuwA6AAEAQQAEK7sALQABADQABCu4AC0QuAAj3LkABQAB9LgAQRC4ABncuQAPAAH0MDETND4CMzIeAhUUDgIjIi4CNxQeAjMyPgI1NC4CIyIOAhc0PgIzMhYXBy4BIyIGFRQWMzI2NxcOASMiLgIzM1h0QUB0WDMzWHRAQXRYMyMuTmc6OWdOLi5OZzk6Z04ucx4xQSQoOBgXFy0ePExJPSQ4FxQbPjAkPzAcAUJLelYvL1Z6S0x7VzAwV3tMRHBPLCxPcERDb08rK09vQytGMBofGBoWFlJES1YdFRwYIxszSQAAAAAEABIBRAF+AsgAEwAnADcAQABXALgANi+4ACkvuAA2ELgAFNy5AAAAAfS4ACkQuAAe3LkACgAB9LoANAA2ACkREjm4ADQvuQA4AAH0ugAxADgANBESObgANhC4ADPQuAApELkAPgAB9DAxEyIuAjU0PgIzMh4CFRQOAicyPgI1NC4CIyIOAhUUHgIDMzIeAhUUBgcXIycjFSM3MjY1NCYrARXIJUIyHR0yQiUlQzEdHTFDJR84KBgYKDgfIDcoGBgoNyRFDxsWDRcRMSUnLyA9FxwVGyABRBwyRywsSDMcHDNILCxHMhwdGSs8JCQ9LRkZLT0kJDwrGQEPBg8YExMgBVZMTGcRFBEVSwAAAgA0/24C+wJ5AEYAVAA/ALsAPAABAEIABCu7ACgAAQAPAAQruwBKAAEAFgAEK7sAIAABAFAABCu7AAUAAQAyAAQrugAjAFAAIBESOTAxNzQ+AjMyHgIVFA4CIyImJyMOASMiLgI1ND4CMzIXMzczBwYzMj4CNTQuAiMiDgIVFB4CMzI2NxcGIyIuAjcUFjMyPwEuASMiDgI0QW2QT0h1USwiNkEfKDUEAho9IxcqHxIZMEUsNR4CCSIkIl4YMykbJ0hnQUWAYzwsT29DMlIkEFZlSHtaM+guIjI6HxIhFyI2JRTKYp9xPS5TdUdAYUIhJScdKREiMyIkUEIrMCi9hx45UjVAakopOGeRWUl1USwaFh42L1mBUjkuQ60cFSM2QgAAAAIAJAAAAcECigAbAB8AmwC4AABFWLgACC8buQAIAA4+WbgAAEVYuAAMLxu5AAwADj5ZuAAARVi4ABYvG7kAFgAEPlm4AABFWLgAGi8buQAaAAQ+WbsAAwABAAAABCu7AAcAAQAEAAQruAAHELgACtC4AAcQuAAO0LgABBC4ABDQuAADELgAEtC4AAAQuAAU0LgAABC4ABjQuAADELgAHNC4AAQQuAAd0DAxNyM1MzcjNTM3MwczNzMHMxUjBzMVIwcjNyMHIz8BIwd3U1cVWFwZIxmVGiIZUlUVVlsZIxmVGiPXFZYV1iSqJMLCwsIkqiTW1tb6qqr//wBeAbgA1gM+AgcAtwAAAbgAAP//AC8BuAE3A0oCBwC4AAABuAAA//8AKAGsATQDSgIHALkAAAG4AAD//wAuAbgBPQM+AgcAugAAAbgAAAACACj/9AFCAZIACwAXACgAuAAGL7gAAEVYuAAALxu5AAAABD5ZuQAMAAH0uAAGELkAEgAB9DAxFyImNTQ2MzIWFRQGJzI2NTQmIyIGFRQWtUJLS0JCS0tCLzc3Ly83NwxrZWRqamRlayFbVFRZWVRUWwAAAAEAXgAAANYBhgAIACIAuAAGL7gAAEVYuAAILxu5AAgABD5ZuAAGELkAAAAB9DAxEyM1PgE3MxEjsFIdKREhJgFEGwYTDv56AAEALwAAATcBkgAaACwAuAAPL7gAAEVYuAAZLxu5ABkABD5ZuQAXAAH0uAAA0LgADxC5AAgAAfQwMTc+AzU0JiMiBgcnPgEzMhYVFA4CBzMVIzgySS8XLycbLxEZEkElNkMZLD8lwP8ZLkg6MRkrMiQaFx4rPT4fODo/JSIAAAAAAQAo//QBNAGSACoAPgC4ABcvuAAARVi4ACcvG7kAJwAEPlm6AAoACQADK7gAJxC5AAMAAfS4ABcQuQAQAAH0ugAdAAkAChESOTAxNx4BMzI2NTQmIzUyNjU0JiMiBgcnPgEzMhYVFAYHHgMVFA4CIyImJ0USOSIlNkpAOz8tJhcvExkVOyYxRSsgEiAaDxQkMBsuRxRVHSMrKCYqHDIiICkdFxYbJDYxJTENAxAYIRUbKx0QLR4AAAIALgAAAT0BhgAFABAATAC4AA4vuAAARVi4AAkvG7kACQAEPlm7AAAAAQAKAAQruAAOELkAAgAB9LgAABC4AAXQuAAKELgAB9C4AAUQuAAM0LgAABC4AA/QMDE3NTcjDwEXIxUjNSM1NzMVM98EBDhJ3zoksbEkOpJXaFNsIHJyFf/0//8AKgEFAR0CUwIGAL0AAP//ACEBBQFFAlMCBgC+AAAAAgAqAQUBHQJTABsAJAA7ALgAAC+4ABIvuwAGAAEAHwAEK7gAEhC5AAsAAfS4AAAQuAAX0LgAABC5ABwAAfS6ABkAAAAcERI5MDETIiY1NDY3NC4CIyIGByc+ATMyFh0BIycjDgEnMjc1DgEVFBaLKzZibAcQGhUePBEPFEMnOi0eBgQVNRcvNV1KJAEFMCs1NwoTIhkOGQwbDh1FOcgnEh0gMWYKLSIgHgAAAAIAIQEFAUUCUwATAB8AGwC4AAovuAAAL7kAFAAB9LgAChC5ABoAAfQwMRMiLgI1ND4CMzIeAhUUDgInMjY1NCYjIgYVFBazHjYnFxcnNh4eNicXFyc2HjA7OzAwOzsBBRcrPicoPisWFis+KCc+KxchSjw8Sko8PEoAAAACACoBvwEOAqwAEwAfABcAuwAUAAEAAAAEK7sACgABABoABCswMRMiLgI1ND4CMzIeAhUUDgInMjY1NCYjIgYVFBacFikgExMgKRYWKSATEyApFiMtLSMjLS0BvxAeLBwcLB8QEB8sHBwsHhAgMSUmMjImJTEAAAACAB4AcgHAAiIAIgA2AEoAuAAARVi4AAgvG7kACAAKPlm4AABFWLgADS8buQANAAo+WbgAAEVYuAASLxu5ABIACj5ZuwAoAAEAHwAEK7gADRC5ADIAAfQwMT8BLgE1NDY3JzcXPgEzMhYXNxcHHgEVFAYHFwcnDgEjIicHNxQeAjMyPgI1NC4CIyIOAh5CEhQUEkIbQhc9ICA9F0MaQhIUFBFBGkMXPSBCMkItFiUyHBwyJRYWJTIcHDIlFo5DGDwjJD4YRBxFFRcXFUUcRBg+JCM8GEMcRBYXLUTWIjkoFxcoOSIiOikXFyk6AAEAO/+SAaMC7QAxAF0AuAAARVi4ACsvG7kAKwAOPlm4AABFWLgAFS8buQAVAAQ+WbgAKxC5AAUAAfS6AAgAFQArERI5uAAVELgAEtC4ABUQuQAcAAH0ugAfACsAFRESObgAKxC4AC7QMDEBLgMjIgYVFB4EFRQGBxUjNS4BJzceATMyNjU0LgQ1ND4CNzUzFR4BFwF4DhseJBc0QCtAS0ArV0MnNFYdGB1QND9DK0BLQCsVJTQfJzE+GgIoDhYQCEEyLDUnIS9HOUhWBmNjBC0cHxosRDcxPSsiLD8zHzYpGgNjYwMoGwABADYAAAGsAosALABZALgAAEVYuAATLxu5ABMADj5ZuAAARVi4AAIvG7kAAgAEPlm5AAAAAfS6ACQAEwACERI5uAAkL7gACtC4ACQQuQAjAAH0uAAL0LgACy+4ABMQuQAaAAH0MDElFSE1PgE1NCYnIzU3My4BNTQ2MzIWFwcuASMiDgIVFBYXMxUjHgEVFAYHFQGs/o04MgUEZEIYCxVbTzRFFx0VNigfLx8QFQulnQQEJiIoKBsgaDoTJBEhAyZLJ09bKh0bGSIUJDAbKEknJBEjFD5SIQQAAAAAAQAeAAABwQJ/AB0AhAC4AABFWLgAHS8buQAdAA4+WbgAAEVYuAAJLxu5AAkADj5ZuAAARVi4ABQvG7kAFAAEPlm6AAQAHQAUERI5ugAZAB0AFBESObgAGS+5AAwAAfS4ABkQuAAN0LgAGRC4ABjQuAAYL7gAENC4ABgQuQAVAAH0uAAR0LgAGRC5ABsAAfQwMRMXHgEXMz4BPwEzAzMVIxUzFSMVIzUjNTM1IzUzA05eECASBBMfEV4urpqoqKgtpqammKwCf8EhQyUlQyHB/rAhRyKlpSJHIQFQAAEAGP/0AdoCiwA1AG0AuAAARVi4ABkvG7kAGQAOPlm4AABFWLgAAy8buQADAAQ+WbsALQABAC4ABCu4AC4QuAAJ0LgALRC4AArQuAAtELgAJdy4ABLQuAAlELkAJAAB9LgAE9C4ABkQuQAgAAH0uAADELkAMgAB9DAxJQ4BIyIuAicjNTcmNDU8ATcjNTc+AzMyFhcHLgEjIgYHIRUhBhQVHAEXMxUjHgEzMjY3AdogTjgsSjgmB0E+AQE+QQcmPFEwLUoWHRY3I1BgCwEW/ucBAfHuDVpIKj8dUiwyJENfPB0ECxQLCRIIHQQ9YUQkLiAbHiV3aSEIEQkLFQshZnYoKQAAAgA+/+QBswKMAAgAJwA3ALsAJAABAAwABCu7ABwAAQAjAAQruAAjELgAANC4ACQQuAAI0LgADBC4AA/QuAAcELgAGdAwMRMOAxUUFhc3DgEHFSM1LgM1ND4CNzUzFR4BFwcuAScRPgE3/yA3JxZPRbQdSSwiKkczHR41RigiMEAXGBc2IiU+GAH2BSAxQidOZgoXGyMCbG0EIjtSMzRROyIEb20CIxccFBsC/n8CHhYAAAAAAf9b//QA8QKfAAMAGAC4AABFWLgAAC8buQAAAAQ+WbgAAdwwMQcBMwGlAXAm/pEMAqv9VQAAAP///1v/9ADxAp8CBgDGAAD//wAo//QC/QKfACcAtgAAAQ0AJwDGAWsAAAAHALYBuwAAAAD//wBK//QCzwKfACcAt//sAQ0AJwDGAVYAAAAHALoBkgAAAAD//wBK//QC3wKfACcAt//sAQ0AJwDGAT8AAAAHALgBqAAAAAD//wAo//QC4gKfACcAuQAAAQ0AJwDGAYUAAAAHALoBpQAAAAAAAQAiAG4BvQImAAsAHQC7AAMAAQAAAAQruAADELgABtC4AAAQuAAI0DAxEyM1MzUzFTMVIxUj27m5Kbm5KQE3JsnJJskAAAAAAQAiATcBvQFdAAMADQC7AAEAAQACAAQrMDETIRUhIgGb/mUBXSYAAAEAMwCHAasCDQALACUAuAAARVi4AAMvG7kA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AAUAAAAhERI5ugAPABQAFxESOboAHAAhAAoREjkwMRMzEx4BFzM+ATcTMxMeARczPgE3EzMDIwMuAScjDgEHAyMOly0GDgYEChMKRn1GChMKBAcNBy2NdLlACA0FBAYNCD22Aoz+zzNnNDRnMwEx/s8yZzU1ZjMBMf10ASgmTSQkTSb+2AAAAAEACwAAAiwCjAAZAFsAuAAARVi4AAEvG7kAAQAQPlm4AABFWLgACy8buQALABA+WbgAAEVYuAAZLxu5ABkABD5ZuAAARVi4AA8vG7kADwAEPlm6AAYAAQAZERI5ugATAA8ACxESOTAxEwMzFx4BFzM+AT8BMwMTIycuAScjDgEPASPAqqQ5CxYOBAsVCjSdqbSkQQwXDgQLFgs9ngFPAT17FzMfHzMXe/68/riFGjMeHjMahQAAAAAB//gAAAIVAowADwBAALgAAEVYuAABLxu5AAEAED5ZuAAARVi4AAsvG7kACwAQPlm4AABFWLgADy8buQAPAAQ+WboABgABAA8REjkwMTcDMxceARczPgE/ATMDFSO9xZ46DhkOBA4bDjuaxZPoAaSWJUUmJkUllv5c6AAAAQAkAAAB/AKMAAkAPQC4AABFWLgAAy8buQADABA+WbgAAEVYuAAILxu5AAgABD5ZuQAGAAH0uAAA0LgAAxC5AAEAAfS4AAXQMDE3ASE1IRUBIRUhJAEg/vsBuv7gASP+KFkBt3xZ/kl8AAAAAgAv//QB2QH8ABsAJQB2ALgAAEVYuAANLxu5AA0ACD5ZuAAARVi4ABcvG7kAFwAEPlm4AABFWLgAEi8buQASAAQ+WboAAwANABcREjm4AAMvuAANELkABgAB9LoAEwASAA0REjm4ABcQuQAfAAH0uAATELkAIgAB9LgAAxC5ACMAAfQwMTc0NjcuASMiBgcnPgEzMhYVESMnIw4BIyIuAjcUFjMyNjc1DgEvhJMCJCggQCQ0MGk7YGV4CwMgRyoiNiYVjB8aGiQUTzyKTlgPIScYFWEdJG1z/uQzHCMXKTYrGBcWFFcLKgAAAAACAEH/9AIWAr0AFgAhAIMAuAAARVi4AAAvG7kAAAASPlm4AABFWLgABi8buQAGAAg+WbgAAEVYuAAQLxu5ABAABD5ZuAAARVi4ABYvG7kAFgAEPlm6AAMABgAQERI5ugATABAABhESObgAExC5ABcAAfS4ABAQuQAaAAH0uAAGELkAHwAB9LgAAxC5ACEAAfQwMRMzFQc+ATMyHgIVFA4CIyImJyMHIzceATMyNjU0IyIHQZMEHUMjLUgzGyM7SyghQx0EDHOTFCgTJjZWLCkCvaxMGh0kQV05QGRFJCAgNIwSDkVNhi0AAQAk//QBvgH8ABwAOQC4AABFWLgABS8buQAFAAg+WbgAAEVYuAAYLxu5ABgABD5ZuAAFELkACwAB9LgAGBC5ABEAAfQwMTc0PgIzMhYXByYjIgYVFBYzMjY3Fw4BIyIuAiQqR14zLkoZQyMiNj4/MBssEjskWCk0WUIm+D5hQiMfGlsdTEFBTBYOXSAeI0JhAAAAAAIAJ//0AfwCvQAWACMAgwC4AABFWLgABS8buQAFAAg+WbgAAEVYuAAKLxu5AAoAEj5ZuAAARVi4ABIvG7kAEgAEPlm4AABFWLgADS8buQANAAQ+WboACAASAAUREjm6AA4ABQASERI5uAASELkAGgAB9LgADhC5AB0AAfS4AAgQuQAeAAH0uAAFELkAIQAB9DAxNzQ+AjMyFhcnNTMRIycjDgEjIi4CNxQWMzI2NzUuASMiBicjOUsnKjYaBpN4CgQaRiQuSzUdly8rGCcSFCoUIzb4PWBDJBwYTKn9QzEaIyRDYD9KRBQZyxIOQwAAAAIAJP/0AeEB/AAbACIAUQC4AABFWLgABS8buQAFAAg+WbgAAEVYuAAXLxu5ABcABD5ZugANAAUAFxESObgADS+4ABcQuQARAAH0uAAFELkAHwAB9LgADRC5ACIAAfQwMTc0PgIzMh4CFRQGByEeATMyNxcOASMiLgIlNCYjIgYHJChBVC01TzUaBAL+1wpFMjU2MSZdLTVcRCYBQCYtIzUI+DxhQyQkQFczFCEJOTMhWRoeI0NgcSs2LzIAAQAYAAABdALJABgAVgC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAVLxu5ABUAEj5ZuAAARVi4AAovG7kACgAEPlm4ABUQuQACAAH0uAAGELkACQAB9LgADNC4AAYQuAAP0DAxASYjIgYdATMVIxEjESM1NzU0PgIzMhYXAVkcFxseWVmTQkITLEYyHzMRAksKISYec/6DAX1tBRsnRjQeDAYAAAADACL/LQIHAfwADgBDAE8AbQC4AABFWLgAIS8buQAhAAg+WbgAAEVYuAA/Lxu5AD8ABj5ZuQADAAH0ugA2ACEAPxESObgANi+5AAkAAfS4ACEQuAAk0LgAJC+5ACUAAfS4ADYQuAAu0LgALi+5AEQAAfS4ACEQuQBKAAH0MDEXFBYzMjY1NCYrASImJwYHNDc1LgE1NDY3NS4BNTQ+AjMyFzMVIx4BFRQOAiMiJw4BFRQWOwEyFhUUDgIjIi4CEzI2NTQmIyIGFRQWmzwyMkAnJTMaIAwbeUcUGiAYGikiOUooLCG1TwcJHjVHKR0fCgghKlBcYSdIZkAsSzkg2x0nJx0dJyc+HB0jGhcQAwMYMDwoBA0oHxsxEQQSQywtQy0WDGsLIhQrPykUCggQDRMSO0MnQS8bDx4wAWwpKicpKCgqKQABAEEAAAIAAr0AFABYALgAAEVYuAAGLxu5AAYACD5ZuAAARVi4AAAvG7kAAAASPlm4AABFWLgAFC8buQAUAAQ+WboAAwAGABQREjm4AAvQuAAGELkADwAB9LgAAxC5ABIAAfQwMRMzFQc+ATMyFhURIxE0JiMiBgcRI0GTBxxKM1FJkx0gHCgYkwK9rFkZK2pe/swBITYoGRf+sQACADUAAADfAtIACwAPAC0AuAAARVi4AAwvG7kADAAIPlm4AABFWLgADi8buQAOAAQ+WboABgAAAAMrMDETIiY1NDYzMhYVFAYHMxEjiiUwMCUmLy9vk5MCOSsiIioqIiIrSf4QAAAAAAL/zf88AOEC0gARAB0ANwC4AABFWLgAAC8buQAAAAg+WbgAAEVYuAAHLxu5AAcABj5ZugAYABIAAyu4AAcQuQAOAAH0MDETMxEUDgIjIiYnNx4BMzI2NRMiJjU0NjMyFhUUBkKTESlEMx8pDxoKEgsdF0olMDAlJTAwAfD+EylINiAIBmwDBCYqAjorIiIqKiIiKwABAEEAAAIeAr0ADABbALgAAEVYuAAELxu5AAQACD5ZuAAARVi4AAAvG7kAAAASPlm4AABFWLgADC8buQAMAAQ+WbgAAEVYuAAILxu5AAgABD5ZugACAAAADBESOboACQAAAAgREjkwMRMzETM3MwcTIycHFSNBjwSdoK67n3A/jwK9/m7FzP7cwUd6AAEAQf/0ARICvQARACsAuAAARVi4AAAvG7kAAAASPlm4AABFWLgADC8buQAMAAQ+WbkABQAB9DAxEzMRFBYzOgE3Fw4BIyIuAjVBkxEJBQcGEgwlGSY0Hw4Cvf3XFxICbQUHGCs9JgAAAQBBAAADHQH8ACEAmAC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAALxu5AAAACD5ZuAAARVi4ACEvG7kAIQAEPlm4AABFWLgAGS8buQAZAAQ+WbgAAEVYuAARLxu5ABEABD5ZugACAAAAIRESOboACQAAACEREjm4AAYQuAAM0LkAFQAB9LgACRC5ABcAAfS4AAYQuQAdAAH0uAACELkAHwAB9DAxEzMXMz4BMzIWFz4BMzIWFREjETQmIyIHESMRNCYjIgcRI0F4CgQfRjE1QRMhSTJQS5MdICUwkx0gJi6TAfBAHy0rKCIxa13+zAEhNigw/rEBITYoMP6xAAAAAAEAQQAAAgAB/AAUAGUAuAAARVi4AAYvG7kABgAIPlm4AABFWLgAAC8buQAAAAg+WbgAAEVYuAAULxu5ABQABD5ZuAAARVi4AAsvG7kACwAEPlm6AAIAAAAUERI5uAAGELkADwAB9LgAAhC5ABIAAfQwMRMzFzM+ATMyFhURIxE0JiMiBgcRI0F4CgQgTDNRSZMdIBwoGJMB8D8eLWpe/swBITYoGRf+sQAAAAACACT/9AIHAfwAEwAfADUAuAAARVi4AAUvG7kABQAIPlm4AABFWLgADy8buQAPAAQ+WbkAFwAB9LgABRC5AB0AAfQwMTc0PgIzMh4CFRQOAiMiLgI3FBYzMjY1NCYjIgYkKENYLy9XQygoQ1cvL1hDKJctLi0uLi0uLfg+YUIjI0JhPj5hQiMjQmE+QUxMQUFMTAAAAgBB/0gCFgH8ABYAIQCDALgAAEVYuAAJLxu5AAkACD5ZuAAARVi4AAMvG7kAAwAIPlm4AABFWLgAAi8buQACAAY+WbgAAEVYuAATLxu5ABMABD5ZugAFAAkAExESOboAFgATAAkREjm4ABYQuQAXAAH0uAATELkAGgAB9LgACRC5AB8AAfS4AAUQuQAhAAH0MDEXFSMRMxczPgEzMh4CFRQOAiMiJic3HgEzMjY1NCMiB9STeAoEHUknLUgyGyM7SyggPBoFFCgTJjZWKyonkQKoMRojJEJdOUBjRSQbGWQSDkVNhi0AAAIAJ/9IAfwB/AAWACMAfwC4AABFWLgABS8buQAFAAg+WbgAAEVYuAALLxu5AAsACD5ZuAAARVi4AA0vG7kADQAGPlm4AABFWLgAEi8buQASAAQ+WboACAAFABIREjm6AA8AEgAFERI5uQAaAAH0uAAPELkAHQAB9LgACBC5AB4AAfS4AAUQuQAhAAH0MDE3ND4CMzIWFzM3MxEjNTcOASMiLgI3FBYzMjY3NS4BIyIGJyM5SycpPh0EDHOTBhlCIi5LNR2XLysYJxIUKhQjNvg9YEMkHSAx/ViXTBgfJENgP0pEFBnLEg5DAAAAAQBBAAABjwH8ABIAUgC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAALxu5AAAACD5ZuAAARVi4ABIvG7kAEgAEPlm6AAIAAAASERI5uAAGELgADdy4AAIQuQAQAAH0MDETMxczPgEzMhYXBy4BIyIGBxEjQXgKBBtMJhUbCxgOGBAcPRSTAfBXMzAFBX8EBCgz/uAAAAEAFf/0AZ8B/AAwAEkAuAAARVi4ABUvG7kAFQAIPlm4AABFWLgALS8buQAtAAQ+WbkAAwAB9LoACwAtABUREjm4ABUQuQAcAAH0ugAjABUALRESOTAxNx4BMzI2NTQuAicuAzU0PgIzMhYXBy4BIyIVFB4CFx4DFRQOAiMiJidXIj4gIR4RHSQTFy4mGBsyRis5ViBCGzQaOBAbIxMYLycYGjRMMjFnJpUaGhYUDBMQDQgJGCMvHyI6KBcnGFgUFicMEQ4NBwkXIjEiIjorGSYfAAAAAQAR//QBbgJ0ABkARQC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAULxu5ABQABD5ZuAAGELkACQAB9LgAANC4AAYQuAAD0LgAFBC5AA0AAfQwMRMjNT8BMxUzFSMVFBYzMjY3Fw4BIyIuAjVVREwRend3Ix0MGQoXFDYkLkEpEwF9bQaEhHPHKiUGBGsGDBwyRysAAAEAPP/0AfgB8AAUAGUAuAAARVi4AAAvG7kAAAAIPlm4AABFWLgACS8buQAJAAg+WbgAAEVYuAARLxu5ABEABD5ZuAAARVi4AAwvG7kADAAEPlm4ABEQuQAFAAH0ugANAAkADBESObgADRC5AAgAAfQwMRMzERQWMzI2NxEzESMnIw4BIyImNTyTHiAcJhaTeAsDIEkzUUkB8P7fNigaHQFI/hBFJitqXgAAAAABAAwAAAH/AfAADQBAALgAAEVYuAAALxu5AAAACD5ZuAAARVi4AAovG7kACgAIPlm4AABFWLgADS8buQANAAQ+WboABQAAAA0REjkwMRMzFx4BFzM+AT8BMwMjDJRAChMKBAkTCkGNoqoB8OolTScnTSXq/hAAAAABABgAAALwAfAAIQB2ALgAAEVYuAAALxu5AAAACD5ZuAAARVi4AAovG7kACgAIPlm4AABFWLgAFC8buQAUAAg+WbgAAEVYuAAhLxu5ACEABD5ZuAAARVi4ABcvG7kAFwAEPlm6AAUAIQAAERI5ugAPABcAFBESOboAHAAAACAREjkwMRMzFx4BFzM+AT8BMxceARczPgE/ATMDIycuAScjDgEPASMYkjAGCgYEBw0JN384CQ4IBAcJBy+Id6wtCAwHBAcLByyoAfDmJUgmJkoj5uYlSCYmSCXm/hDGI0YoKEYjxgABAA4AAAH0AfAAGQBbALgAAEVYuAABLxu5AAEACD5ZuAAARVi4AAsvG7kACwAIPlm4AABFWLgAGS8buQAZAAQ+WbgAAEVYuAAPLxu5AA8ABD5ZugAGAAsADxESOboAFAABABkREjkwMRMnMxceARczPgE/ATMHFyMnLgEnIw4BDwEjpo+eLAoVCwQIEggimJCZnjAMFwwECRQJJ5gBAu5QFSsVFSsVUP/xUhUsFRUrFlIAAAABAAz/PgH9AfAAHQBGALgAAEVYuAAILxu5AAgACD5ZuAAARVi4ABIvG7kAEgAIPlm4AABFWLgAGS8buQAZAAY+WbkAAwAB9LoADQAIABkREjkwMRceATMyNj8BAzMXHgEXMz4BPwEzAw4DIyImJzdMBxIIJSgKB7+URwsSCgQIEQk8jawSJzNBLBcgDxpIAgQkHRoB49UiRiUjRyPV/gsvRy8YBQVwAAABACYAAAG0AfAACQA9ALgAAEVYuAADLxu5AAMACD5ZuAAARVi4AAgvG7kACAAEPlm5AAYAAfS4AADQuAADELkAAQAB9LgABdAwMTcTIzUhFQMzFSEm0LkBcNDX/nJPAS5zTv7RcwAA////+gAAAkMDNgImAAQAAAAHAOEBGwAA////+gAAAkMDNgImAAQAAAAHAOMBGwAA////+gAAAkMDNgImAAQAAAAHAOUBGwAA////+gAAAkMDRwImAAQAAAAHAOcBGwAA////+gAAAkMDSAImAAQAAAAHAOoBGwAA////+gAAAkMDfQImAAQAAAAHAOwBGwAAAAL/8gAAAxkCjAAGABYAfAC4AABFWLgADi8buQAOABA+WbgAAEVYuAANLxu5AA0ABD5ZuAAARVi4AAkvG7kACQAEPlm6AAIADgANERI5ugAKAA4ADRESObgACi+5AAYAAfS4AAkQuQAHAAH0uAAOELkAEAAB9LoAFQAOAAkREjm4ABUvuQATAAH0MDEBESMOAQ8BBRUhNSMHIwEhFSMVMxUjFQGCBBQnFCoCFP5psUSbATYB5/rT0wEHARYwXitdi3yVlQKMfIN7lgAA//8ALv8jAjACmAImAAYAAAAHAO4BXgAA//8ATQAAAe8DNgImAAgAAAAHAOEBIAAA//8ATQAAAe8DNgImAAgAAAAHAOMBIAAA//8ATQAAAe8DNgImAAgAAAAHAOUBIAAA//8ATQAAAe8DSAImAAgAAAAHAOoBIAAA////9AAAAOEDNgImAAwAAAAHAOEAlgAA//8ASwAAATgDNgImAAwAAAAHAOMAlgAA////7gAAAT4DNgImAAwAAAAHAOUAlgAA////7QAAAT8DSAImAAwAAAAHAOoAlgAA//8ATQAAAkwDRwImABEAAAAHAOcBTQAA//8ALv/0An4DNgImABIAAAAHAOEBVgAA//8ALv/0An4DNgImABIAAAAHAOMBVgAA//8ALv/0An4DNgImABIAAAAHAOUBVgAA//8ALv/0An4DRwImABIAAAAHAOcBVgAA//8ALv/0An4DSAImABIAAAAHAOoBVgAAAAMAKP/XApQCtQAHABAAKgCFALgAAEVYuAAmLxu5ACYAED5ZuAAARVi4ABkvG7kAGQAEPlm6AAAAGQAmERI5uQACAAH0ugAHACYAGRESOboACAAmABkREjm4ACYQuQAKAAH0ugAQABkAJhESOboAEQAmABkREjm6ABsAGQAmERI5ugAeABkAJhESOboAKAAmABkREjkwMSUWMzI2NTQvASYjIgYVFBYXAR4BFRQOAiMiJwcnNy4BNTQ+AjMyFzcXAQgiLUNOCTAkNENOBwYBdRodK05tQl5HPkxFHSErTm1CZklCTI8cc2MtJF0ibmIcMhUBNilpQVB+WC8wTTpWK3JFUH1VLTVSOwAAAAACAC4AAAMyAowAFAAhAFUAuAAARVi4AAUvG7kABQAQPlm4AABFWLgAEC8buQAQAAQ+WbgABRC5ABwAAfS4AAfQugAMAAUAEBESObgADC+5AAoAAfS4ABAQuQAbAAH0uAAO0DAxEzQ+AjMhFSMVMxUjFSEVISIuAjcUHgI7AREjIg4CLjJZe0kBq/fQ0AEB/kNGd1gylxwzRysXFytHMxwBSVR6TyZ8g3uWfChRfFQ7UTEVAZ4UL07//wBJ//QCTwM2AiYAGAAAAAcA4QFMAAD//wBJ//QCTwM2AiYAGAAAAAcA4wFMAAD//wBJ//QCTwM2AiYAGAAAAAcA5QFMAAD//wBJ//QCTwNIAiYAGAAAAAcA6gFMAAD////4AAACFQM2AiYAHAAAAAcA4wEGAAAAAgAaAAACZQKMABAAIQBZALgAAEVYuAAhLxu5ACEAED5ZuAAARVi4ABwvG7kAHAAEPlm5AAAAAfS4ACEQuQAKAAH0ugAOACEAHBESObgADi+5AA0AAfS4AA4QuAAe0LgADRC4AB/QMDElMj4CNTQuAisBFTMVIxUTMh4CFRQOAisBESM1NxEBFSpEMBsbMEQqHH19JUt4Vi4uVHVIwExMdxYxUDs6Ty8UoUe2AhUmT3pUVHxRKAEtQgUBGAACAE0AAAI6AowAEAAYADkAuAAARVi4AAAvG7kAAAAQPlm4AABFWLgAEC8buQAQAAQ+WbsAGAABAA4ABCu7AAIAAQAXAAQrMDETMxUzMh4CFRQOAisBFSM3MjU0JisBFU2TWzVdRSgpRlw0W5PleD07UgKMYxUxUDs6UzYae/BoMynEAP//AC//9AHZAtQCJgAeAAAABwDgARkAAP//AC//9AHZAtQCJgAeAAAABwDiARkAAP//AC//9AHZAtQCJgAeAAAABwDkARkAAP//AC//9AHZAsYCJgAeAAAABwDmARkAAP//AC//9AHZAsYCJgAeAAAABwDpARkAAP//AC//9AHZAvACJgAeAAAABwDrARkAAAADAC//9ALtAfwACwA8AEMAmwC4AABFWLgADy8buQAPAAg+WbgAAEVYuAAVLxu5ABUACD5ZuAAARVi4AC4vG7kALgAEPlm4AABFWLgAKC8buQAoAAQ+WbgALhC5AAMAAfS6ADYALgAPERI5uAA2L7kACQAB9LoAHQAVACgREjm4AB0vuAAoELkAIQAB9LgADxC5ADkAAfS4ABUQuQBAAAH0uAAdELkAQwAB9DAxNxQWMzI2NyYvAQ4BAz4BMzIWFz4BMzIeAhUUBgchHgEzMjY3Fw4BIyImJw4BIyIuAjU0NjcuASMiBgcFNCYjIgYHux8aGi8UCwMBST57MGU2LkYWIEYtMUoxGQQC/uIIQi0cMhsyJl0sOFMgNVgyIjYmFYKSAiEqHkAkAfwkKSMxBpUYFxYUHyMVCyoBCR0kKCMkJyVBWDMUIQk0MhQQXxoeKiMqIxcpNh9PWQ8gJxgVMy04MTQA//8AJP8jAb4B/AImACAAAAAHAO0BGgAA//8AJP/0AeEC1AImACIAAAAHAOABDgAA//8AJP/0AeEC1AImACIAAAAHAOIBDgAA//8AJP/0AeEC1AImACIAAAAHAOQBDgAA//8AJP/0AeECxgImACIAAAAHAOkBDgAA////9QAAANwC1AImAGcAAAAHAOAAigAA//8AOAAAAR8C1AImAGcAAAAHAOIAigAA////8AAAASQC1AImAGcAAAAHAOQAigAA////4QAAATMCxgImAGcAAAAHAOkAigAAAAEAQQAAANQB8AADACUAuAAARVi4AAAvG7kAAAAIPlm4AABFWLgAAi8buQACAAQ+WTAxEzMRI0GTkwHw/hAAAP//AEEAAAIAAsYCJgArAAAABwDmATQAAP//ACT/9AIHAtQCJgAsAAAABwDgARUAAP//ACT/9AIHAtQCJgAsAAAABwDiARUAAP//ACT/9AIHAtQCJgAsAAAABwDkARUAAP//ACT/9AIHAsYCJgAsAAAABwDmARUAAP//ACT/9AIHAsYCJgAsAAAABwDpARUAAAADACT/5wIHAgsABwAPACoASQC4AABFWLgAJS8buQAlAAg+WbgAAEVYuAAYLxu5ABgABD5ZugAAABgAJRESObkAAgAB9LoACAAlABgREjm4ACUQuQAKAAH0MDE3FjMyNjU0LwEmIyIGFRQXJR4BFRQOAiMiJwcnNy4BNTQ+AjMyFhc3F9wXIy02ByQWIi42BwEVGh8oQ1cvSjwrNy8aHyhDWC8jRB0sN3oUSz8pG0MTSz8oG+khVzY+YUIjKDUqOiBXNj5hQiMUEzYrAAADACT/9AMSAfwACwA0ADsAcQC4AABFWLgAES8buQARAAg+WbgAAEVYuAAwLxu5ADAABD5ZuQADAAH0uAARELkACQAB9LgAERC4ABfQuAAwELgAKtC6AB8AFwAqERI5uAAfL7gAKhC5ACMAAfS4ABcQuQA4AAH0uAAfELkAOwAB9DAxNxQWMzI2NTQmIyIGBzQ+AjMyFhc+ATMyHgIVFAYHIR4BMzI2NxcOASMiJicOASMiLgIlNCYjIgYHuSwpKS4uKSkslSZAVS81Tx0eUi0xSjIZBAL+4QhCLRwyGzMmXiwtVB8fTzcwVD8kAnAkKSMxBvhBTExBQUxMQT5hQiMuKSotJUFYMxQhCTQyFBBfGh4tKissI0JhbS04MTQAAAABAEH/9AJdAscAOABkALgAAEVYuAAFLxu5AAUAEj5ZuAAARVi4ADgvG7kAOAAEPlm4AABFWLgAGy8buQAbAAQ+WboADwAbAAUREjm5ACEAAfS6ACQAGwAFERI5ugAwABsABRESObgABRC5ADMAAfQwMRM0PgIzMh4CFRQOAhUUHgQVFA4CIyImJzcWMzI2NTQuBDU0PgI1NCYjIgYVESNBHTpaPDNNMxoYHhgaJy4nGhcvRS0tRiQzMS4aHRonLicaFhsWIR8uLpEB5zBSPCIcLzwgJDEnIRMRFxYaJTUmIjwsGhgVZCQbFRMbFxkhLSEdKiYpGx0nQzr+Kv//ADz/9AH4AtQCJgAyAAAABwDgAR0AAP//ADz/9AH4AtQCJgAyAAAABwDiAR0AAP//ADz/9AH4AtQCJgAyAAAABwDkAR0AAP//ADz/9AH4AsYCJgAyAAAABwDpAR0AAP//AAz/PgH9AtQCJgA2AAAABwDiAQoAAP//AAz/PgH9AsYCJgA2AAAABwDpAQoAAAACACr/9AH+AuQADgAyAFkAuAAARVi4AC0vG7kALQASPlm4AABFWLgAFy8buQAXAAQ+WbsAIQABAAkABCu6ACkAJgADK7gAFxC5AAAAAfS4ACYQuAAP0LgAKRC4AC3cuAApELgAMNAwMSUyNjU8AScuASMiBhUUFhMeARUUDgIjIi4CNTQ+AjMyFhcmJwcnNy4BJzceARc3FwEWKjUBFzAaLDc9ijtMIT1YNy9TQCUiOUknHTgVGjuOJnQULRlAI0YhjyZrSU4MFgsZEjo8Oz4B7jyjcDxmSioiPlk3NlQ6HxMXTThHQToOGg1ZEioZSEEAAAAAAgBB/0gCFgK9ABYAIQBXALgAAEVYuAAILxu5AAgACD5ZuAAARVi4AAIvG7kAAgASPlm4AABFWLgAAS8buQABAAY+WbgAAEVYuAASLxu5ABIABD5ZuQAaAAH0uAAIELkAHwAB9DAxFyMRMxUHPgEzMh4CFRQOAiMiJicXNR4BMzI2NTQjIgfUk5MEGkAiL0s0HCM7SygkNxoEFCgTJjZWKyq4A3WsRhcaJEJdOUBjRSQYF0qzEg5FTYYtAAABABgAAAKvAskALgB8ALgAAEVYuAATLxu5ABMACD5ZuAAARVi4ACsvG7kAKwASPlm4AABFWLgADy8buQAPAAQ+WbgAKxC5AAIAAfS4ABMQuAAl0LgAB9C4ABMQuQAQAAH0uAAM0LgACNC4AA8QuAAL0LgAExC4ABLQuAArELgAGdC5ACAAAfQwMQEmIyIGHQEzFSMRIxEjESMRIzU3NTQ+AjMyFhcHLgEjIgYdATM1ND4CMzIWFwKVHBcbHllZk6mTQkIVLUczIDYRGwwaFBohqRMsRTIgMhECSwohJh5z/oMBff6DAX1tBRcmRDIdCwdtBQYhIxcaJ0Y0HgwGAAAAAQAY//QCnwLJAC4AiQC4AABFWLgAEC8buQAQAAg+WbgAAEVYuAAWLxu5ABYAEj5ZuAAARVi4AAwvG7kADAAEPlm4AABFWLgAAy8buQADAAQ+WbgAEBC5AA0AAfS4AAnQuAAQELgAD9C4AA8vuAAWELkAHAAB9LgAEBC4ACHQuAAl0LgACRC4ACbQuAADELkAKwAB9DAxJQ4BIyIuAj0BIxEjESM1NzU0PgIzMhYXByYjIgYdATM3MxUzFSMVFBYzMjY3Ap8UNiQuQSkTmZNCQhMsRjIfMxEbHBcbHqERend3Ix0MGQoGBgwcMkcryf6DAX1tBRsnRjQeDAZsCiEmHoSEc8cqJQYEAAAAAAMAGf/0AokCmAAKABYARACMALgAAEVYuAAvLxu5AC8AED5ZuAAARVi4AB0vG7kAHQAEPlm4AABFWLgAFy8buQAXAAQ+WboAOgAaAAMruAAdELkAAwAB9LoABQAaADoREjm6AAgAHQAvERI5uAAIL7gADty4AC8QuQAUAAH0ugAnAAgADhESOboANwAIAA4REjm6AEEAGgA6ERI5MDE3FBYzMjcuAScOARMUFhc+ATU0JiMiBgEuAScOASMiLgI1ND4CNy4BNTQ+AjMyFhUUDgIHHgEXPgE3Mw4BBx4BF6Q1LCgrJkUdFBg9CwojMBYXGSIBhSlUKiplPjVRNxwTISsYExUZLkEpSlYXJzEZHEMkGSYMhhI1Jh85GbclLhofRCQRJgEgEigUFS4hFxwn/eQIIhgfIx4zQyYiNywkDyNFHyM+LxtQRCA1LSYRID0aIE4uPG0zEBUEAAAAAAIAJf/0AesChwATACcANQC4AABFWLgACi8buQAKAA4+WbgAAEVYuAAALxu5AAAABD5ZuQAUAAH0uAAKELkAHgAB9DAxBSIuAjU0PgIzMh4CFRQOAicyPgI1NC4CIyIOAhUUHgIBCDNUOyEhO1QzM1Q7ISE7VDMTIBgNDRggExIgGA4OGCAMK1R8UVF6UykpU3pRUXxUK3ITMlRBQVMvEhIvU0FBVDITAAEARgAAAdoCewAMAEMAuAAARVi4AAcvG7kABwAOPlm4AABFWLgADC8buQAMAAQ+WbkAAQAB9LgABxC5AAQAAfS5AAIAAfS4AAEQuAAJ0DAxNzMRIzU+ATczETMVIUaKdzRIImx3/mx3AW9bChwU/fx3AAAAAQAeAAAB5AKHAB8APQC4AABFWLgADy8buQAPAA4+WbgAAEVYuAAeLxu5AB4ABD5ZuQAcAAH0uAAZ0LgAANC4AA8QuQAIAAH0MDE3PgM1NCYjIgYHJz4BMzIeAhUUDgIHPgE7ARUhJT1lSSkwKiM2GFAvYkQvTTgeIjlJJxg7F4D+QVQ5Y1dLIi8xJxpPMjMdNUouKFNTUygDBXwAAQAW//QB3wKHAC8AUwC4AABFWLgAGy8buQAbAA4+WbgAAEVYuAAsLxu5ACwABD5ZuQADAAH0ugALABsALBESObgACy+5AAwAAfS4ABsQuQAUAAH0ugAkAAwACxESOTAxNx4BMzI2NTQuAiM1Mj4CNTQmIyIGByc+ATMyHgIVFAYHFR4BFRQOAiMiJidaHUUpLzgPJkI0KzkjDygmIjceSixhOzFROSA3MzdHJkBWME5sI6scJCckFSIXDWgMFx8TISUeGlomKxctQCoyRRYEEE0+LEUvGTEpAAAAAAIAEwAAAfgCewAJABQAVwC4AABFWLgAEi8buQASAA4+WbgAAEVYuAANLxu5AA0ABD5ZuwAOAAEAAAAEK7gAEhC4AATcuAAAELgACdC4AA4QuAAL0LgACRC4ABDQuAAAELgAE9AwMQE1NDY3Iw4BDwEFIxUjNSE1EzMRMwEmBAIEDBoOVAFYSYn+7ei0SQEIZx9RHho2G4pwmJhlAX7+jQABABf/9AHgAnsAJABHALgAAEVYuAAQLxu5ABAADj5ZuAAARVi4ACEvG7kAIQAEPlm5AAMAAfS6ABcAEAAhERI5uAAXL7gACdy4ABAQuQASAAH0MDE3HgEzMjY1NCYjIg4CBycTIRUjBz4BMzIeAhUUDgIjIiYnWR1DKTE6Ny0OFhUXDkISAWjpCxIhFClJOCAmQFUuTmwmqholMjEwMgMIDAkqAUF8dwgHGDBKMzVSOR4zJgACACn/9AHsAocADQAyAEMAuAAARVi4AC8vG7kALwAOPlm4AABFWLgAJS8buQAlAAQ+WbsAGwABAAYABCu4ACUQuQAAAAH0uAAvELkAEQAB9DAxJTI2NTQmIyIGBx4DEy4BIyIOAgc+AzMyHgIVFA4CIyIuAjU0PgIzMhYXARYhLy8kGDIWBRQaH5ERNhwaLiMWAgwgIiIPKUUzHCI5TSsuV0MoK0ddMj9cHmIxNjMpHCMmMh8NAYESGxQvTDcQGREJGDBKMjJOOB0kTHdUWYJUKS0fAAEALAAAAeYCewAPADMAuAAARVi4AAcvG7kABwAOPlm4AABFWLgAAC8buQAAAAQ+WbgABxC5AAUAAfS4AAnQMDEzPgM3ITUhFQ4DByOfBBUnPS3+4wG6N0MlEASUT4V5dD58WkN1fY9dAAAAAAMAKv/0AegChwANABgAOgBXALgAAEVYuAAlLxu5ACUADj5ZuAAARVi4ADYvG7kANgAEPlm5AAMAAfS6AAsANgAlERI5uAALL7gADtC4ACUQuQATAAH0uAALELgAHNy4AA4QuAAt3DAxNxQWMzI2NTQuAicOATc2NTQmIyIGFRQWBzQ2NzUuATU0PgIzMh4CFRQGBxUeARUUDgIjIi4CqDooJTATJDEeFRyHJykkHSo81D8tJTAeNkssK0gyHDIhLkAgO1MzMFE7IbMqLycoFR4ZFg0UNKItMCUtJCUnLOM6ShgEHEczKEEuGBktQScuRxYEGU4/JkAvGxkuQAAAAAACACL/9AHmAocACwAwAEMAuAAARVi4ACMvG7kAIwAOPlm4AABFWLgALS8buQAtAAQ+WbsAAAABABkABCu4ACMQuQAGAAH0uAAtELkADwAB9DAxEzI2Ny4BIyIGFRQWBx4BMzI+AjcOAyMiLgI1ND4CMzIeAhUUDgIjIiYn/BgyFQo3IiAwMF8QNhwbLiMVAgwgIiIPKUUyHSI5TSsuV0MpK0ddMj9dHgFWHCNLOTE2Mym+EhsUL0s4EBkRCRgwSjIxTzgdJEx3VFmCVCkuHgAAAQA9//QA7wCtAAsAGAC4AABFWLgACS8buQAJAAQ+WbgAA9wwMTc0NjMyFhUUBiMiJj0zJiYzMyYmM1AoNTUoJzU1AAABAC7/PgEAAK0AEAAYALgAAEVYuAAELxu5AAQABD5ZuAAK3DAxFz4BNSMiJjU0NjMyFhUUBgcuNzoIIzY2JjI0XFh0FEAmKygmLklCU3ca//8APf/0AO8B8QInAIYAAAFEAAYAhgAA//8ALv8+AQAB8QInAIYAAAFEAAYAhwAAAAIAUf/0AQMCngAFABEAGgC4AABFWLgADy8buQAPAAQ+WbkACQAB9DAxEyczBwMjBzQ2MzIWFRQGIyImZQWUBRVgKTMmJjMzJiYzAhmFhf7Olyg1NSgnNTUAAAAAAgBR/1IBAwH8AAUAEQANALgADy+5AAkAAfQwMR8BIzcTMzcUBiMiJjU0NjMyFu8FlAUVYCkzJiYzMyYmMymFhQEylyg1NSgnNTUAAAIAKf/0AaUCqgAdACkAKAC4AABFWLgAJy8buQAnAAQ+WbsAEQABAAoABCu4ACcQuQAhAAH0MDE3Jj4ENTQmIyIGByc+ATMyHgIVFA4EFwc0NjMyFhUUBiMiJpoFDxwjIBUlHhwrFFEiXDgqSTUeFiElHxIDmTImJjMzJiYy5yI4MCglIxMfIBoUSikyFCpBLB8xKicqLx6XKDU1KCc1NQACACr/RgGmAfwAHQApABsAuAAnL7sACgABABEABCu4ACcQuQAhAAH0MDEBFg4EFRQWMzI2NxcOASMiLgI1ND4EJzcUBiMiJjU0NjMyFgE1BQ8cIyAVJh0cKxRRIlw4Kkk1HhYhJR8TA5kzJiYzMyYmMwEJIjgwKCUjEx8gGhRKKTIUKkEtHzEqJykvHpcoNTUoJzU1AAAAAAEATAFiAOACrgAFAAsAugACAAQAAyswMRMnMw8BI1EFlAUdUAIphYXHAAD//wBMAWIBzAKuACYAjgAAAAcAjgDsAAAAAQA3AVIA5QKrABEAKwC4AABFWLgAAy8buQADAAg+WbgAAEVYuAAFLxu5AAUACD5ZuQALAAH0MDETDgEVNjMyFhUUBiMiJjU0NjflLS0DByAtLCEvL0ZIAmsXOy0BJyImLEU+R2wjAAABAEcBYAD2ArkAEQANALsACwABAAUABCswMRM+ATUGIyImNTQ2MzIWFRQGB0ctLQMGIC0rIi4wR0gBoBc7LQEnIiYsRD9HbCMAAAD//wA3AVIB0QKrACYAkAAAAAcAkADsAAD//wBHAWAB4gK5ACYAkQAAAAcAkQDsAAD//wBH/1gA9gCxAgcAkQAA/fgAAP//AEf/WAHiALEAJwCRAAD9+AAHAJEA7P34AAAAAQAxADgA7gHAAAYACwC6AAIABgADKzAxNzU3FwcXBzGGN29vN8hokCyYmCwAAAAAAQA2ADgA8wHAAAYACwC6AAIABQADKzAxNyc3FxUHJ6VvN4aGN/yYLJBokCwAAAD//wAxADgBqgHAACYAlgAAAAcAlgC8AAD//wA2ADgBrwHAACYAlwAAAAcAlwC8AAAAAQArAMkBIQExAAMADQC7AAEAAQACAAQrMDETMxUjK/b2ATFoAAAA//8AKwDJASEBMQIGAJoAAAABACsAzgG1ASwAAwANALsAAQABAAIABCswMRMhFSErAYr+dgEsXgAAAQArAM4C9QEsAAMADQC7AAEAAQACAAQrMDETIRUhKwLK/TYBLF4A//8APQDkAO8BnQIHAIYAAADwAAAAAQAoAHsBMQGRABMACwC6AAoAAAADKzAxNyIuAjU0PgIzMh4CFRQOAqwcMCQUFCQwHBwxJBQUJDF7FSYyHh4zJRUVJTMeHjImFQAAAAEADP90Aej/xwADAA0AuwAAAAEAAQAEKzAxBRUhNQHo/iQ5U1MAAAABAEj/TQEoAt8ADgALALoABgAAAAMrMDEXLgE1NDY3Fw4BFRQWFwfMP0VFP1w3MjI3XLNn3oSE3mcmYtZra9ZiJgAAAAEAMP9NARAC3wAOAAsAugAHAA0AAyswMRc+ATU0Jic3HgEVFAYHJzA4MjI4XD9FRT9cjWLWa2vWYiZn3oSE3mcmAAAAAQBX/2gBKgLEAAcAFwC7AAUAAQAGAAQruwABAAEAAgAEKzAxEzMVIxEzFSNX02Vl0wLETv1ATgABAC7/aAEBAsQABwAXALsAAAABAAYABCu7AAMAAQACAAQrMDEXESM1MxEjNZRm09NKAsBO/KROAAEAH/9oASoCxAAzACsAuwAAAAEAAQAEK7sAHgABAB8ABCu7ABAAAQAPAAQrugAqAA8AEBESOTAxBRUjIiY1ND4CNTQuAic1PgM1NC4CNTQ2OwEVIyIGFRQWFRQGBxUeARUUBhUUFjMBKj9CPgMEAwkUIRgYIRQJAwQDPkI/Ex8WBCQmJiQEFh9KTj1RGyonJxgNGhUNAVYBDRUaDRgnJyobUT1OHSkpTC45MwkECTM5LkwpKR0AAAABAC7/aAE5AsQAMwArALsAAAABADIABCu7ABUAAQAUAAQruwAjAAEAJAAEK7oACgAkACMREjkwMRcyNjU0JjU0Njc1LgE1NDY1NCYrATUzMhYVFA4CFRQeAhcVDgMVFB4CFRQGKwE1QR8WBCQmJiQEFh8TP0I+AwQDCRQhGBghFAkDBAM+Qj9KHSkpTC45MwkECTM5LkwpKR1OPVEbKicnGA0aFQ0BVgENFRoNGCcnKhtRPU4AAAAAAQAN/2ABNgLGAAMAGAC4AABFWLgAAC8buQAAABI+WbgAAtwwMRMzAyPWYMlgAsb8mgAAAAEAVv8GALYC7gADAAsAugABAAIAAyswMRMzESNWYGAC7vwYAAEAHP9gAUYCxgADABgAuAAARVi4AAAvG7kAAAASPlm4AALcMDETMxMjHGDKYALG/JoAAAACAFb/BgC2Au4AAwAHAAsAugABAAUAAyswMRMzESMXESMRVmBgYGAC7v5KbP46AcYAAAAAAQAmAV0BowLIAA4AFAC4AABFWLgABS8buQAFABI+WTAxEzcnNxc3Mxc3FwcXBycHVztsF3QNTQ1zGGw7PVBRAYloMUgYdncZSDFoLFlZAAACACX/rAHrArIADQBBACgAuAAARVi4ACgvG7kAKAAEPlm7ACsAAQAlAAQruwA+AAEAEQAEKzAxExQeAhc2NTQuAicGNy4BIyIVFB4EFRQGBx4BFRQOAiMiJic3FjMyNjU0LgQ1NDY3LgE1NDYzMhYXoSAyPR0iIDE9HSPaFzgaNig8RzwoKycLDBkwSC83aSJVMTwfHSc6RTonKyUOD11VOlsfAVEYIRsZDxUmGCEbGA8XoRQcJxIbGyAtQC0sQRgQJhciOioYKStLMxgTExwaHi1ALyZDFxApGkRVKRgAAAIAJ/+wAhwCjAADABAAJQC4AABFWLgAAC8buQAAAA4+WbgAAEVYuAAOLxu5AA4ADj5ZMDEBMxEjAyIuAjU0PgI7AREBiZOTYDVeRikoRV00LAKM/SQBFR07Vzk/VTUW/jkAAAADAC3/9wLAAo8AEwAnAEUAMwC7ADoAAQBBAAQruwAtAAEANAAEK7gALRC4ACPcuQAFAAH0uABBELgAGdy5AA8AAfQwMRM0PgIzMh4CFRQOAiMiLgI3FB4CMzI+AjU0LgIjIg4CFzQ+AjMyFhcHLgEjIgYVFBYzMjY3Fw4BIyIuAi01W3hCQnhaNTVaeEJCeFs1RClGYDc3YEYpKUZgNzdgRilRIDVGJi4+GDcQIBQwMTIqGSQTMB1AJypHMx0BRU56VS0tVXtNTntXLi5Xe04+ZEgnJ0hkPj1kRyYmR2Q+LEcyGyMYPRERPS0zPBMPRBcdHDNJAAAAAAQAIAE3Aa0CywATACMAMAA5AFcAuAAvL7gAJS+4AC8QuAAU3LkAAAAB9LgAJRC4ABrcuQAKAAH0ugAtAC8AJRESObgALS+5ADEAAfS6ACoAMQAtERI5uAAvELgALNC4ACUQuQA3AAH0MDETIi4CNTQ+AjMyHgIVFA4CJzI2NTQmIyIOAhUUHgInMzIWFRQHFyMnIxUjNzI2NTQmKwEV5ylJNh8fNkkpKUg2Hx82SCk/UFA/IDQnFRUnNDFZIy4jKTweHTlODw8PDxUBNx42SiwsSjYeHjZKLCxKNh4xU0ZGUxYoOCMjOCgW/SAiJRFNPDxkEQsLDzYAAgAx/1QDVgKdAEYAUwA/ALsAOwABAEIABCu7ACcAAQAPAAQruwBJAAEAFgAEK7sAHgABAE8ABCu7AAUAAQAxAAQrugAiAE8AHhESOTAxNzQ+AjMyHgIVFA4CIyImJyMOASMiJjU0PgIzMhYXMzczBwYzMj4CNTQuAiMiDgIVFB4CMzI2NxcOASMiLgIlFDMyNj8BJiMiDgIxSHukXFGDXDIqQlEnK0AIAhVEHzxIHzZKKxkmDQIOWy4VQxYrIhQeQmhJQHpgOi9RaTsnUSAgLmA2S4lpPgE/NBAfExgPHxcjGQ3Naat6QjRfg05FZ0UiKCQdJVFFLlhFKhcbKtxWGS9DKTZiSyw1YYlUSm5IJBYRUBkXLl6NYkMUGYcdHCoyAAAAAAIAIgAAAfICigAbAB8AoAC4AABFWLgABi8buQAGAAg+WbgAAEVYuAAKLxu5AAoACD5ZuAAARVi4AA4vG7kADgAIPlm4AABFWLgAFi8buQAWAAQ+WbgAAEVYuAAaLxu5ABoABD5ZuwADAAEAAAAEK7gABhC5AAQAAfS4ABDQuAAR0LgAAxC4ABLQuAAAELgAFNC4AAAQuAAY0LgAAxC4ABzQuAARELgAHdC4AB7QMDE3IzUzNyM1MzczBzM3MwczFSMHMxUjByM3IwcjEzcjB2xKVQ5PWxVUFGgVVBRPWw1UXxdVFmcXVd4OaA27Xm5epaWlpV5uXru7uwEZbm4AAP//AEwBuAESAz4CBwC3AAABuAAA//8AGwG4AU4DSgIHALgAAAG4AAD//wAbAawBUQNKAgcAuQAAAbgAAP//ACMBuAFwAz4CBwC6AAABuAAAAAIAGv/0AV8BkgATAB8AKAC4AAovuAAARVi4AAAvG7kAAAAEPlm5ABQAAfS4AAoQuQAaAAH0MDEXIi4CNTQ+AjMyHgIVFA4CJzI2NTQmIyIGFRQWvCM8KxgYKzwjIzwrGRkrPCMZIyMZGSMjDBw2TTExTDUcHDVMMTFNNhxSOEZGNjZGRjgAAAABAEwAAAESAYYACgAiALgACC+4AABFWLgACi8buQAKAAQ+WbgACBC5AAAAAfQwMRMjNT4DNzMRI6VZFB8aFwxWbQEZQgMICg0J/noAAQAbAAABTgGSABcALAC4AAwvuAAARVi4ABYvG7kAFgAEPlm5ABQAAfS4AADQuAAMELkABgAB9DAxNz4BNTQmIyIGByc2MzIWFRQOAgczFSEtS2AeGxQiET08WUFPER0lFXb+3zo+XyUdIBkWOFBFPxgtLCwXWgAAAQAb//QBUQGSACgAPgC4ABUvuAAARVi4ACUvG7kAJQAEPlm6AAgABwADK7gAJRC5AAIAAfS4ABUQuQAOAAH0ugAdAAcACBESOTAxNxYzMjY1NCM1MjY1NCYjIgYHJz4BMzIeAhUUBgceARUUDgIjIiYnXCMwFyFdJCsaFxMfDj0gQi4bMSYWHhseKRkpNx4zUhp2MBgXMz4XGRQWFhE2IyAPHCkZHysQDC8jGy0fEikmAAAAAgAjAAABcAGGAAUAEABMALgADi+4AABFWLgACS8buQAJAAQ+WbsAAAABAAoABCu4AA4QuQACAAH0uAAAELgABdC4AAoQuAAH0LgABRC4AAzQuAAAELgAD9AwMTc1NyMPARcjFSM1IzU3MxUz1gYEKCrqOmCzjYY6nSl1TVFGV1c2+en//wAdAP4BQAJXAgYAvQAA//8AGAD+AVwCVwIGAL4AAAACAB0A/gFAAlcAGQAiADsAuAAAL7gAEC+7AAYAAQAeAAQruAAQELkACQAB9LgAABC4ABXQuAAAELkAGgAB9LoAFwAAABoREjkwMTciJjU0NjcuASMiBgcnPgEzMhYdASMnIw4BNzI2NzUOARUUgi82WGMCFxgULhglIUknQEdTCgQSLgYPFw0yJv46KjU5CRYWEA5EFBhJS70hEhdODgw3BRwSHgAAAAACABgA/gFcAlcAEwAfABsAuAAKL7gAAC+5ABQAAfS4AAoQuQAaAAH0MDE3Ii4CNTQ+AjMyHgIVFA4CJzI2NTQmIyIGFRQWuiA6LRsbLTogIDotGxstOiAdHBwdHRsb/hcsQCkpQC0XFy1AKSlALBdSMSkqMTEqKTEAAAAAAgAnAY4BSAKuABMAHwAXALsAFAABAAAABCu7AAoAAQAaAAQrMDETIi4CNTQ+AjMyHgIVFA4CJzI2NTQmIyIGFRQWtx41JxYWJzUeHjUnFxcnNR4eJSUeHSYmAY4VJzQgHzUnFRUnNR8gNCcVRikhICkpICEpAAAAAgAUAFMB/AI/AB4AKgAoALgAAEVYuAALLxu5AAsACj5ZuwAiAAEAGwAEK7gACxC5ACgAAfQwMT8BJjU0NjcnNxc2MzIXNxcHFhUUBgcXBycOASMiJwc3FBYzMjY1NCYjIgYUPSIREDxJRTA2NDJFST0iEhA9SUYXNBo3LkZVMiQkMjIkJDKdPi5BIDcWPkpGGRlGSj4tQCE3Fz5KRwwMGEf3LTU1LS01NQAAAAEAJ/+SAdQC6QAtAF0AuAAARVi4ACcvG7kAJwAOPlm4AABFWLgAEy8buQATAAQ+WbgAJxC5AAMAAfS6AAYAEwAnERI5uAATELgAENC4ABMQuQAaAAH0ugAdACcAExESObgAJxC4ACrQMDEBLgEjIgYVFB4EFRQGBxUjNS4BJzceATMyNjU0LgQ1NDY3NTMVHgEXAYMbMiAkJic7RDsnTk5hLGEjQCZFJConJztEOydRR2EwSB0B3hkZHiIYIR4gLkEwSGcRaGQFJyBjHR0iIxokISEuPi1KYQ5nZQcsHwAAAQAwAAAB8QKHACwAVwC4AABFWLgAFi8buQAWAA4+WbgAAEVYuAADLxu5AAMABD5ZuwAkAAEAJQAEK7gAAxC5AAEAAfS4AATQuAAlELgAC9C4ACQQuAAM0LgAFhC5AB0AAfQwMTchFSE1PgE1NCYnIzU3My4BNTQ+AjMyFhcHLgEjIgYVFBYXMxUjHgEVFAYH7gED/j8tPQEBZEQGBwkgOU4vOFMiUBEmGCgvBgWUgQEBFRh8fFsUTzYHDQdWBRQoFC9MNR0qJ1AVFS4wEiQSWwcOByQ0GwAAAQAMAAACBAJ7AB0AhAC4AABFWLgAHS8buQAdAA4+WbgAAEVYuAAJLxu5AAkADj5ZuAAARVi4ABQvG7kAFAAEPlm6AAQAHQAUERI5ugAZAB0AFBESObgAGS+5AAwAAfS4ABkQuAAN0LgAGRC4ABjQuAAYL7gAENC4ABgQuQAVAAH0uAAR0LgAGRC5ABsAAfQwMRMXHgEXMz4BPwEzAzMVIxUzFSMVIzUjNTM1IzUzA6MzDBgOBA0YDTKUk3qampqTmZmZepMCe4UhQiAhQiCF/ttGN0aTk0Y3RgElAAEAFf/0AgcChwAxAG0AuAAARVi4ABcvG7kAFwAOPlm4AABFWLgAAy8buQADAAQ+WbsAKQABACoABCu4ACoQuAAH0LgAKRC4AAjQuAApELgAI9y4ABDQuAAjELkAIgAB9LgAEdC4ABcQuQAeAAH0uAADELkALgAB9DAxJQ4BIyImJyM1NyY0NTwBNyM1Nz4DMzIWFwcuASMiBgczFSMVHAEXMxUjHgEzMjY3AgckXDZeiRc+NgEBNj4MMEVWMi1WIFITKRorOQzW3wG2rA45Kh0rFFAtL3NwRQQHDAcHDAdEBThXPB8oJk8TGD45ShUIDgdLNzocGgAAAgA8/9cB5wKPAAYAJAA3ALsAIQABAAoABCu7ABoAAQAgAAQruAAgELgAANC4ACEQuAAG0LgAChC4AA3QuAAaELgAF9AwMQEOARUUFh8BDgEHFSM1LgM1ND4CNzUzFR4BFwcmJxE+ATcBEyQkJSPUHUQiUTFPOB8gOk4vUSc/FkMeGxUkDwGwEEAtLUEPRRkdBV9fBihBWDY1Vj8pCGFdBB0XWhgD/vAEEwwAAAH/Vf/0AQoCmAADABgAuAAARVi4AAAvG7kAAAAEPlm4AAHcMDEHATMBqwFgVf6gDAKk/VwAAAD///9V//QBCgKYAgYAxgAA//8AGv/0A0ACmAAnALYAAAEGACcAxgF9AAAABwC2AeEAAAAA//8AL//0AyECmAAnALf/4wEGACcAxgFkAAAABwC6AbEAAAAA//8AL//0AyMCmAAnALf/4wEGACcAxgFVAAAABwC4AdUAAAAA//8AGf/0AykCmAAnALn//gEGACcAxgF6AAAABwC6AbkAAAAAAAEAIgBeAe4CNgALAB0AuwADAAEAAAAEK7gAAxC4AAbQuAAAELgACNAwMRMjNTM1MxUzFSMVI9KwsGywsGwBFmi4uGi4AAAAAAEAIgEWAe4BfgADAA0AuwABAAEAAgAEKzAxEyEVISIBzP40AX5oAAABADAAcAHgAiMACwALALoABQAJAAMrMDE/ASc3FzcXBxcHJwcwjo5Jj49Jjo5Jj4+6j5BKkJBKkI9KkJAAAAAAAwAiAEkB7gJLAAsAFwAbADIAuAAARVi4AAYvG7kABgAMPlm7AA8AAQAVAAQruwAZAAEAGgAEK7gABhC5AAAAAfQwMQEiJjU0NjMyFhUUBgM0NjMyFhUUBiMiJgMhFSEBCCMuLiMjLi50LiMjLi4jIy6VAcz+NAGxKyIiKysiIiv+5SIrKyIiKysBCmgAAAD//wAiAKMB7gHyAiYAzQB0AAYAzQCNAAAAAQAiAGgB7gIwAAkAFQC6AAEACAADK7oABQAIAAEREjkwMRMlFQ8BFR8BFSUiAcywh4ew/jQBf7F5Oi8ELzp5sQAAAAABACIAaAHuAjAACQAVALoACAABAAMrugAFAAEACBESOTAxAQU1PwE1LwE1BQHu/jSwh4ewAcwBGbF5Oi8ELzp5sQAAAAIAIgAAAe4CNgALAA8AOAC4AABFWLgADi8buQAOAAQ+WbsAAwABAAAABCu4AAMQuAAG0LgAABC4AAjQuAAOELkADAAB9DAxEyM1MzUzFTMVIxUjByEVIdKwsGywsGywAcz+NAEmaKioaIg2aAAAAAABADIBEgHeAp4ACQA4ALgAAEVYuAAALxu5AAAAED5ZuAAC3LgAABC5AAUAAfS6AAYAAAACERI5uAACELgACNC4AAnQMDET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yr6EIj+LzNj/mfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h/C/PkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn/pdpgHKNGrGIdkRK+KPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho+EIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA+q/j9m3LM/O7WJka4tSidVCjsvo2lQ/2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3/5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho/bcwQdeboqfQartuU3CsCf+cXkgYAqp/0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid/NIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A+TRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC+JE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW/WDHA60cYFaI/PjpzquUqdaYGcIq+mLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC+1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A+P/oFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E/vwOiKxRtCWsDM+eTHUrmwrCK5BIfMzGkD+0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3/kFutpQGNc3pCR7gvC4sgwbupDu3DyEN+W6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc+h1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0+bC5zgpGz7Io+mjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO/ENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn+3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif+pZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx/k3QgnAFSq27/2i4GEBA+UvTJKK/9eISNvG46Em5RZfjTYLdeD8kdXHyrwId/DQZUaMCY4gGbke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS/2ToPjqkaq62/7WFG8advGlRRqxB9diP07JrXowKR9tpRa+jGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq+nsp3YMuXt/GkXxLx/P6+ZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar+gMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud+YlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl/zh575R5rsrmRnKAzq4POFdgbYBuEviM4+LVC15ssLNFghbTtHWerS1hDt5s4qkLUha/qpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI+yjEldJfSo4y0QhG4i4IwkRFGcjWY8+EzgYYJUK7BXQksLxAww/YYWBMhJILB9e8ePEJ4OP7z+4/wOQDl64iOYDp26DaONPxpKtBxq/aTzRGarm3VkPYTLJKx6Z/Mw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ+lPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k/UuGkNpP1DBI5ch/EehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv+J41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI+HYexTUevLUeta4/DqKrbMVS+Yqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ++KkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9/Wx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k/90B8+yRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB/mQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go/n6j0cS+a2gEU8gIHJ+BwfgZX4GL+Bd/gW34FZ+BS/gUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh/F062yJ7AAAAEDAWAAABWhJ+KPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg) 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e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal 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class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
<style type="text/css">

.tocify {
width: 20%;
max-height: 90%;
overflow: auto;
margin-left: 2%;
position: fixed;
border: 1px solid #ccc;
webkit-border-radius: 6px;
moz-border-radius: 6px;
border-radius: 6px;
}

.tocify ul, .tocify li {
list-style: none;
margin: 0;
padding: 0;
border: none;
line-height: 30px;
}

.tocify-header {
text-indent: 10px;
}

.tocify-subheader {
text-indent: 20px;
display: none;
}

.tocify-subheader li {
font-size: 12px;
}

.tocify-subheader .tocify-subheader {
text-indent: 30px;
}

.tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 40px;
}

.tocify .tocify-item > a, .tocify .nav-list .nav-header {
margin: 0px;
}

.tocify .tocify-item a, .tocify .list-group-item {
padding: 5px;
}
.tocify .nav-pills > li {
float: none;
}


</style>
<script>/* jquery Tocify - v1.9.1 - 2013-10-22
 * http://www.gregfranko.com/jquery.tocify.js/
 * Copyright (c) 2013 Greg Franko; Licensed MIT */

// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
    tocify(window.jQuery, window, document);

  }

  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  (function($, window, document, undefined) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    var tocClassName = "tocify",
      tocClass = "." + tocClassName,
      tocFocusClassName = "tocify-focus",
      tocHoverClassName = "tocify-hover",
      hideTocClassName = "tocify-hide",
      hideTocClass = "." + hideTocClassName,
      headerClassName = "tocify-header",
      headerClass = "." + headerClassName,
      subheaderClassName = "tocify-subheader",
      subheaderClass = "." + subheaderClassName,
      itemClassName = "tocify-item",
      itemClass = "." + itemClassName,
      extendPageClassName = "tocify-extend-page",
      extendPageClass = "." + extendPageClassName;

    // Calling the jQueryUI Widget Factory Method
    $.widget("toc.tocify", {

      //Plugin version
      version: "1.9.1",

      // These options will be used as defaults
      options: {

        // **context**: Accepts String: Any jQuery selector
        // The container element that holds all of the elements used to generate the table of contents
        context: "body",

        // **ignoreSelector**: Accepts String: Any jQuery selector
        // A selector to any element that would be matched by selectors that you wish to be ignored
        ignoreSelector: null,

        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
        selectors: "h1, h2, h3",

        // **showAndHide**: Accepts a boolean: true or false
        // Used to determine if elements should be shown and hidden
        showAndHide: true,

        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
        // Used to display any of the table of contents nested items
        showEffect: "slideDown",

        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the show animation
        showEffectSpeed: "medium",

        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
        // Used to hide any of the table of contents nested items
        hideEffect: "slideUp",

        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the hide animation
        hideEffectSpeed: "medium",

        // **smoothScroll**: Accepts a boolean: true or false
        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
        smoothScroll: true,

        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the smoothScroll animation
        smoothScrollSpeed: "medium",

        // **scrollTo**: Accepts Number (pixels)
        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
        scrollTo: 0,

        // **showAndHideOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be shown and hidden while scrolling
        showAndHideOnScroll: true,

        // **highlightOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
        highlightOnScroll: true,

        // **highlightOffset**: Accepts a number
        // The offset distance in pixels to trigger the next active table of contents item
        highlightOffset: 40,

        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
        theme: "bootstrap",

        // **extendPage**: Accepts a boolean: true or false
        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
        extendPage: true,

        // **extendPageOffset**: Accepts a number: pixels
        // How close to the bottom of the page a user must scroll before the page is extended
        extendPageOffset: 100,

        // **history**: Accepts a boolean: true or false
        // Adds a hash to the page url to maintain history
        history: true,

        // **scrollHistory**: Accepts a boolean: true or false
        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
        scrollHistory: false,

        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
        // # character) will be generated.
        //
        // "compact" (default) - #CompressesEverythingTogether
        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
        // function(text, element){} - Your own hash generation function that accepts the text as an
        // argument, and returns the hash value.
        hashGenerator: "compact",

        // **highlightDefault**: Accepts a boolean: true or false
        // Set's the first TOC item as active if no other TOC item is active.
        highlightDefault: true

      },

      // _Create
      // -------
      //      Constructs the plugin.  Only called once.
      _create: function() {

        var self = this;

        self.extendPageScroll = true;

        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
        self.items = [];

        // Generates the HTML for the dynamic table of contents
        self._generateToc();

        // Adds CSS classes to the newly generated table of contents HTML
        self._addCSSClasses();

        self.webkit = (function() {

          for (var prop in window) {

            if (prop) {

              if (prop.toLowerCase().indexOf("webkit") !== -1) {

                return true;

              }

            }

          }

          return false;

        }());

        // Adds jQuery event handlers to the newly generated table of contents
        self._setEventHandlers();

        // Binding to the Window load event to make sure the correct scrollTop is calculated
        $(window).load(function() {

          // Sets the active TOC item
          self._setActiveElement(true);

          // Once all animations on the page are complete, this callback function will be called
          $("html, body").promise().done(function() {

            setTimeout(function() {

              self.extendPageScroll = false;

            }, 0);

          });

        });

      },

      // _generateToc
      // ------------
      //      Generates the HTML for the dynamic table of contents
      _generateToc: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
          firstElem,

          // Instantiated variable that will store the top level newly created unordered list DOM element
          ul,
          ignoreSelector = self.options.ignoreSelector;


        // Determine the element to start the toc with
        // get all the top level selectors
        firstElem = [];
        var selectors = this.options.selectors.replace(/ /g, "").split(",");
        // find the first set that have at least one non-ignored element
        for(var i = 0; i < selectors.length; i++) {
          var foundSelectors = $(this.options.context).find(selectors[i]);
          for (var s = 0; s < foundSelectors.length; s++) {
            if (!$(foundSelectors[s]).is(ignoreSelector)) {
              firstElem = foundSelectors;
              break;
            }
          }
          if (firstElem.length> 0)
            break;
        }

        if (!firstElem.length) {

          self.element.addClass(hideTocClassName);

          return;

        }

        self.element.addClass(tocClassName);

        // Loops through each top level selector
        firstElem.each(function(index) {

          //If the element matches the ignoreSelector then we skip it
          if ($(this).is(ignoreSelector)) {
            return;
          }

          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
          ul = $("<ul/>", {
            "id": headerClassName + index,
            "class": headerClassName
          }).

          // Appends a top level list item HTML element to the previously created HTML header
          append(self._nestElements($(this), index));

          // Add the created unordered list element to the HTML element calling the plugin
          self.element.append(ul);

          // Finds all of the HTML tags between the header and subheader elements
          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {

            // If there are no nested subheader elemements
            if ($(this).find(self.options.selectors).length === 0) {

              // Loops through all of the subheader elements
              $(this).filter(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

            // If there are nested subheader elements
            else {

              // Loops through all of the subheader elements
              $(this).find(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

          });

        });

      },

      _setActiveElement: function(pageload) {

        var self = this,

          hash = window.location.hash.substring(1),

          elem = self.element.find('li[data-unique="' + hash + '"]');

        if (hash.length) {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          elem.addClass(self.focusClass);

          // Triggers the click event on the currently focused TOC item
          elem.click();

        } else {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          if (!hash.length && pageload && self.options.highlightDefault) {

            // Highlights the first TOC item if no other items are highlighted
            self.element.find(itemClass).first().addClass(self.focusClass);

          }

        }

        return self;

      },

      // _nestElements
      // -------------
      //      Helps create the table of contents list by appending nested list items
      _nestElements: function(self, index) {

        var arr, item, hashValue;

        arr = $.grep(this.items, function(item) {

          return item === self.text();

        });

        // If there is already a duplicate TOC item
        if (arr.length) {

          // Adds the current TOC item text and index (for slight randomization) to the internal array
          this.items.push(self.text() + index);

        }

        // If there not a duplicate TOC item
        else {

          // Adds the current TOC item text to the internal array
          this.items.push(self.text());

        }

        hashValue = this._generateHashValue(arr, self, index);

        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
        item = $("<li/>", {

          // Sets a common class name to the list item
          "class": itemClassName,

          "data-unique": hashValue

        });

        if (this.options.theme !== "bootstrap3") {

          item.append($("<a/>", {

            "text": self.text()

          }));

        } else {

          item.text(self.text());

        }

        // Adds an HTML anchor tag before the currently traversed HTML element
        self.before($("<div/>", {

          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
          "name": hashValue,

          "data-unique": hashValue

        }));

        return item;

      },

      // _generateHashValue
      // ------------------
      //      Generates the hash value that will be used to refer to each item.
      _generateHashValue: function(arr, self, index) {

        var hashValue = "",
          hashGeneratorOption = this.options.hashGenerator;

        if (hashGeneratorOption === "pretty") {

          // prettify the text
          hashValue = self.text().toLowerCase().replace(/\s/g, "-");

          // fix double hyphens
          while (hashValue.indexOf("--") > -1) {
            hashValue = hashValue.replace(/--/g, "-");
          }

          // fix colon-space instances
          while (hashValue.indexOf(":-") > -1) {
            hashValue = hashValue.replace(/:-/g, "-");
          }

        } else if (typeof hashGeneratorOption === "function") {

          // call the function
          hashValue = hashGeneratorOption(self.text(), self);

        } else {

          // compact - the default
          hashValue = self.text().replace(/\s/g, "");

        }

        // add the index if we need to
        if (arr.length) {
          hashValue += "" + index;
        }

        // return the value
        return hashValue;

      },

      // _appendElements
      // ---------------
      //      Helps create the table of contents list by appending subheader elements

      _appendSubheaders: function(self, ul) {

        // The current element index
        var index = $(this).index(self.options.selectors),

          // Finds the previous header DOM element
          previousHeader = $(self.options.selectors).eq(index - 1),

          currentTagName = +$(this).prop("tagName").charAt(1),

          previousTagName = +previousHeader.prop("tagName").charAt(1),

          lastSubheader;

        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
        if (currentTagName < previousTagName) {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));

        }

        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
        else if (currentTagName === previousTagName) {

          ul.find(itemClass).last().after(self._nestElements($(this), index));

        } else {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          ul.find(itemClass).last().

          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
          after($("<ul/>", {

            "class": subheaderClassName,

            "data-tag": currentTagName

          })).next(subheaderClass).

          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
          append(self._nestElements($(this), index));
        }

      },

      // _setEventHandlers
      // ----------------
      //      Adds jQuery event handlers to the newly generated table of contents
      _setEventHandlers: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // Instantiates a new variable that will be used to hold a specific element's context
          $self,

          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
          duration;

        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
        this.element.on("click.tocify", "li", function(event) {

          if (self.options.history) {

            window.location.hash = $(this).attr("data-unique");

          }

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          $(this).addClass(self.focusClass);

          // If the showAndHide option is true
          if (self.options.showAndHide) {

            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');

            self._triggerShow(elem);

          }

          self._scrollTo($(this));

        });

        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
        this.element.find("li").on({

          // Mouseenter event handler
          "mouseenter.tocify": function() {

            // Adds a hover CSS class to the current list item
            $(this).addClass(self.hoverClass);

            // Makes sure the cursor is set to the pointer icon
            $(this).css("cursor", "pointer");

          },

          // Mouseleave event handler
          "mouseleave.tocify": function() {

            if (self.options.theme !== "bootstrap") {

              // Removes the hover CSS class from the current list item
              $(this).removeClass(self.hoverClass);

            }

          }
        });

        // only attach handler if needed (expensive in IE)
        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
          // Window scroll event handler
          $(window).on("scroll.tocify", function() {

            // Once all animations on the page are complete, this callback function will be called
            $("html, body").promise().done(function() {

              // Local variables

              // Stores how far the user has scrolled
              var winScrollTop = $(window).scrollTop(),

                // Stores the height of the window
                winHeight = $(window).height(),

                // Stores the height of the document
                docHeight = $(document).height(),

                scrollHeight = $("body")[0].scrollHeight,

                // Instantiates a variable that will be used to hold a selected HTML element
                elem,

                lastElem,

                lastElemOffset,

                currentElem;

              if (self.options.extendPage) {

                // If the user has scrolled to the bottom of the page and the last toc item is not focused
                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {

                  if (!$(extendPageClass).length) {

                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');

                    if (!lastElem.length) return;

                    // Gets the top offset of the page header that is linked to the last toc item
                    lastElemOffset = lastElem.offset().top;

                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
                    $(self.options.context).append($("<div/>", {

                      "class": extendPageClassName,

                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",

                      "data-unique": extendPageClassName

                    }));

                    if (self.extendPageScroll) {

                      currentElem = self.element.find('li.' + self.focusClass);

                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));

                    }

                  }

                }

              }

              // The zero timeout ensures the following code is run after the scroll events
              setTimeout(function() {

                // _Local variables_

                // Stores the distance to the closest anchor
                var closestAnchorDistance = null,

                  // Stores the index of the closest anchor
                  closestAnchorIdx = null,

                  // Keeps a reference to all anchors
                  anchors = $(self.options.context).find("div[data-unique]"),

                  anchorText;

                // Determines the index of the closest anchor
                anchors.each(function(idx) {
                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
                    closestAnchorDistance = distance;
                    closestAnchorIdx = idx;
                  } else {
                    return false;
                  }
                });

                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");

                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
                elem = $('li[data-unique="' + anchorText + '"]');

                // If the `highlightOnScroll` option is true and a next element is found
                if (self.options.highlightOnScroll && elem.length) {

                  // Removes highlighting from all of the list item's
                  self.element.find("." + self.focusClass).removeClass(self.focusClass);

                  // Highlights the corresponding list item
                  elem.addClass(self.focusClass);

                }

                if (self.options.scrollHistory) {

                  if (window.location.hash !== "#" + anchorText) {

                    window.location.replace("#" + anchorText);

                  }
                }

                // If the `showAndHideOnScroll` option is true
                if (self.options.showAndHideOnScroll && self.options.showAndHide) {

                  self._triggerShow(elem, true);

                }

              }, 0);

            });

          });
        }

      },

      // Show
      // ----
      //      Opens the current sub-header
      show: function(elem, scroll) {

        // Stores the plugin context in the `self` variable
        var self = this,
          element = elem;

        // If the sub-header is not already visible
        if (!elem.is(":visible")) {

          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {

            // Sets the current element to all of the subheaders within the current header
            elem = elem.parents(subheaderClass).add(elem);

          }

          // If the current element does not have any nested subheaders and is not a header
          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {

            // Sets the current element to the closest subheader
            elem = elem.closest(subheaderClass);

          }

          //Determines what jQuery effect to use
          switch (self.options.showEffect) {

            //Uses `no effect`
            case "none":

              elem.show();

              break;

              //Uses the jQuery `show` special effect
            case "show":

              elem.show(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `slideDown` special effect
            case "slideDown":

              elem.slideDown(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `fadeIn` special effect
            case "fadeIn":

              elem.fadeIn(self.options.showEffectSpeed);

              break;

              //If none of the above options were passed, then a `jQueryUI show effect` is expected
            default:

              elem.show();

              break;

          }

        }

        // If the current subheader parent element is a header
        if (elem.parent().is(headerClass)) {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem));

        }

        // If the current subheader parent element is not a header
        else {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));

        }

        // Maintains chainablity
        return self;

      },

      // Hide
      // ----
      //      Closes the current sub-header
      hide: function(elem) {

        // Stores the plugin context in the `self` variable
        var self = this;

        //Determines what jQuery effect to use
        switch (self.options.hideEffect) {

          // Uses `no effect`
          case "none":

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<h1 class="title toc-ignore"><div class="line-block">Replication Material<br />
<br />
How Transnational Party Alliances Influence National Parties’ Policies<br />
<br />
doi:</div></h1>
<h4 class="author">Roman Senninger, Daniel Bischof, and Lawrence Ezrow</h4>
<h4 class="date">Contact: <a href="mailto:rsenninger@ps.au.dk" class="email">rsenninger@ps.au.dk</a></h4>

</div>


<div id="data" class="section level1">
<h1>Data</h1>
<p>Please visit the PSRM dataverse (<a href="https://dataverse.harvard.edu/dataverse/PSRM" class="uri">https://dataverse.harvard.edu/dataverse/PSRM</a>) or Roman Senninger’s Dataverse (<a href="https://dataverse.harvard.edu/dataverse/R_Senninger" class="uri">https://dataverse.harvard.edu/dataverse/R_Senninger</a>) to download the data sets used in this manual.</p>
</div>
<div id="load-required-packages" class="section level1">
<h1>Load Required Packages</h1>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw">library</span>(<span class="st">&quot;dplyr&quot;</span>)</a>
<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="kw">library</span>(<span class="st">&quot;ggplot2&quot;</span>)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"><span class="kw">library</span>(<span class="st">&quot;stargazer&quot;</span>)</a>
<a class="sourceLine" id="cb1-4" data-line-number="4"><span class="kw">library</span>(<span class="st">&quot;lmtest&quot;</span>)</a>
<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="kw">library</span>(<span class="st">&quot;Zelig&quot;</span>)</a></code></pre></div>
</div>
<div id="set-seed" class="section level1">
<h1>Set Seed</h1>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">12345678</span>)</a></code></pre></div>
</div>
<div id="main-results" class="section level1">
<h1>Main Results</h1>
<p>This manual provides code to reproduce our results in the main body of the manuscript and the appendix. We start with the regression results in Table 1.</p>
<div id="table-1" class="section level2">
<h2>Table 1</h2>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2"></a>
<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe1.RData&quot;</span>)</a>
<a class="sourceLine" id="cb3-4" data-line-number="4"></a>
<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb3-6" data-line-number="6"></a>
<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb3-8" data-line-number="8"></a>
<a class="sourceLine" id="cb3-9" data-line-number="9"><span class="co"># capture all parties minus one from colnames to include party fixed effects in the models</span></a>
<a class="sourceLine" id="cb3-10" data-line-number="10"></a>
<a class="sourceLine" id="cb3-11" data-line-number="11">partyfx &lt;-<span class="st"> </span><span class="kw">paste</span>(<span class="kw">colnames</span>(dataframe1[<span class="dv">24</span><span class="op">:</span><span class="dv">237</span>]), <span class="dt">sep=</span><span class="st">&quot;&quot;</span>)</a>
<a class="sourceLine" id="cb3-12" data-line-number="12"></a>
<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co"># Model 1 in Table 1</span></a>
<a class="sourceLine" id="cb3-14" data-line-number="14"></a>
<a class="sourceLine" id="cb3-15" data-line-number="15">model1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~  spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span><span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb3-16" data-line-number="16"></a>
<a class="sourceLine" id="cb3-17" data-line-number="17">model1 &lt;-<span class="st"> </span><span class="kw">lm</span>(model1, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb3-18" data-line-number="18"><span class="kw">summary</span>(model1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model1, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.49666 -0.29372 -0.00964  0.24805  1.94420 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)  4.127845   0.179901  22.945  &lt; 2e-16 ***
## spruled      0.003980   0.001870   2.129 0.033385 *  
## year_fe2     0.003342   0.105069   0.032 0.974631    
## year_fe3     0.043323   0.103920   0.417 0.676799    
## year_fe4     0.029081   0.104274   0.279 0.780352    
## year_fe5     0.113500   0.104916   1.082 0.279442    
## year_fe6     0.261007   0.104557   2.496 0.012613 *  
## year_fe7     0.284924   0.106816   2.667 0.007693 ** 
## year_fe8     0.256136   0.101250   2.530 0.011477 *  
## year_fe9     0.098882   0.111837   0.884 0.376693    
## year_fe10    0.163251   0.127919   1.276 0.202004    
## year_fe11    0.235116   0.113591   2.070 0.038571 *  
## year_fe12    0.289860   0.107190   2.704 0.006894 ** 
## year_fe13    0.375073   0.100285   3.740 0.000188 ***
## year_fe14    0.391252   0.097032   4.032 5.69e-05 ***
## year_fe15    0.041751   0.124141   0.336 0.736661    
## year_fe16   -0.068691   0.162528  -0.423 0.672596    
## year_fe17   -0.057299   0.152971  -0.375 0.708010    
## year_fe18   -0.040225   0.152578  -0.264 0.792084    
## year_fe19    0.023214   0.132924   0.175 0.861375    
## year_fe20    0.054318   0.198607   0.273 0.784497    
## year_fe21    0.033136   0.207995   0.159 0.873435    
## year_fe22    0.027812   0.201341   0.138 0.890144    
## year_fe23   -0.105719   0.227942  -0.464 0.642832    
## year_fe24   -0.161988   0.230350  -0.703 0.481980    
## year_fe25   -0.115611   0.207993  -0.556 0.578370    
## year_fe26   -0.178375   0.220169  -0.810 0.417918    
## year_fe27   -0.095653   0.165963  -0.576 0.564430    
## year_fe28   -0.114015   0.174357  -0.654 0.513225    
## year_fe29   -0.412997   0.293005  -1.410 0.158807    
## year_fe30   -0.419242   0.264879  -1.583 0.113602    
## year_fe31   -0.309559   0.214298  -1.445 0.148718    
## year_fe32   -0.424558   0.231473  -1.834 0.066750 .  
## year_fe33   -0.456641   0.241609  -1.890 0.058875 .  
## year_fe34   -0.437319   0.235163  -1.860 0.063055 .  
## party_fe2   -0.516444   0.184576  -2.798 0.005182 ** 
## party_fe3    0.444940   0.184576   2.411 0.015999 *  
## party_fe4    1.409350   0.184576   7.636 3.19e-14 ***
## party_fe5    1.202173   0.184576   6.513 8.89e-11 ***
## party_fe6    2.152920   0.184576  11.664  &lt; 2e-16 ***
## party_fe7   -0.636335   0.222401  -2.861 0.004256 ** 
## party_fe8   -0.336352   0.222401  -1.512 0.130570    
## party_fe9    0.284065   0.222401   1.277 0.201629    
## party_fe10   0.431712   0.222401   1.941 0.052355 .  
## party_fe11   1.219197   0.222401   5.482 4.63e-08 ***
## party_fe12   0.604355   0.321063   1.882 0.059905 .  
## party_fe13  -0.107954   0.209478  -0.515 0.606358    
## party_fe14  -0.660604   0.203887  -3.240 0.001211 ** 
## party_fe15  -0.252005   0.181935  -1.385 0.166137    
## party_fe16  -0.499972   0.157898  -3.166 0.001562 ** 
## party_fe17   0.286200   0.157898   1.813 0.070021 .  
## party_fe18   1.830032   0.167007  10.958  &lt; 2e-16 ***
## party_fe19   0.566950   0.157898   3.591 0.000336 ***
## party_fe20   2.084950   0.157898  13.204  &lt; 2e-16 ***
## party_fe21   1.800916   0.161286  11.166  &lt; 2e-16 ***
## party_fe22   1.878020   0.157898  11.894  &lt; 2e-16 ***
## party_fe23   2.116262   0.196024  10.796  &lt; 2e-16 ***
## party_fe24   0.042772   0.181712   0.235 0.813932    
## party_fe25  -0.676702   0.181712  -3.724 0.000200 ***
## party_fe26   0.137577   0.181712   0.757 0.449054    
## party_fe27   0.653574   0.525799   1.243 0.213982    
## party_fe28   1.411630   0.321046   4.397 1.14e-05 ***
## party_fe29   1.309463   0.181712   7.206 7.61e-13 ***
## party_fe30   1.274442   0.181712   7.014 2.99e-12 ***
## party_fe31   0.418625   0.161838   2.587 0.009747 ** 
## party_fe32   0.599985   0.161838   3.707 0.000214 ***
## party_fe33   0.716098   0.245554   2.916 0.003575 ** 
## party_fe34   0.128341   0.161911   0.793 0.428049    
## party_fe35   0.154492   0.159203   0.970 0.331938    
## party_fe36   0.374019   0.382382   0.978 0.328106    
## party_fe37   1.403167   0.157700   8.898  &lt; 2e-16 ***
## party_fe38   1.384352   0.178620   7.750 1.33e-14 ***
## party_fe39   0.606900   0.321665   1.887 0.059312 .  
## party_fe40   1.340562   0.287866   4.657 3.38e-06 ***
## party_fe41   0.586976   0.321497   1.826 0.068007 .  
## party_fe42   0.132367   0.232409   0.570 0.569039    
## party_fe43   2.797034   0.320996   8.714  &lt; 2e-16 ***
## party_fe44   1.118188   0.157700   7.091 1.74e-12 ***
## party_fe45   0.675506   0.157700   4.283 1.91e-05 ***
## party_fe46   0.497146   0.171121   2.905 0.003702 ** 
## party_fe47   0.264809   0.181718   1.457 0.145174    
## party_fe48   0.002858   0.198107   0.014 0.988492    
## party_fe49   0.246650   0.157369   1.567 0.117164    
## party_fe50   0.538452   0.157369   3.422 0.000633 ***
## party_fe51   1.600903   0.157369  10.173  &lt; 2e-16 ***
## party_fe52   0.329308   0.321110   1.026 0.305214    
## party_fe53   0.766152   0.158055   4.847 1.33e-06 ***
## party_fe54   0.563330   0.288227   1.954 0.050759 .  
## party_fe55   1.902140   0.221796   8.576  &lt; 2e-16 ***
## party_fe56   1.094263   0.321110   3.408 0.000666 ***
## party_fe57   2.580383   0.285435   9.040  &lt; 2e-16 ***
## party_fe58   0.133139   0.286654   0.464 0.642360    
## party_fe59  -0.277032   0.215086  -1.288 0.197865    
## party_fe60   0.299690   0.213617   1.403 0.160763    
## party_fe61   0.008604   0.244969   0.035 0.971986    
## party_fe62  -1.357765   0.181178  -7.494 9.25e-14 ***
## party_fe63  -0.754341   0.524378  -1.439 0.150406    
## party_fe64  -0.126046   0.157428  -0.801 0.423407    
## party_fe65   0.909211   0.157428   5.775 8.64e-09 ***
## party_fe66   0.488801   0.157428   3.105 0.001925 ** 
## party_fe67  -0.107411   0.179155  -0.600 0.548865    
## party_fe68   0.825327   0.285563   2.890 0.003884 ** 
## party_fe69  -0.454725   0.157314  -2.891 0.003879 ** 
## party_fe70   0.011056   0.157314   0.070 0.943978    
## party_fe71   0.978372   0.527961   1.853 0.063986 .  
## party_fe72   0.631872   0.527961   1.197 0.231494    
## party_fe73   1.520226   0.166333   9.140  &lt; 2e-16 ***
## party_fe74   1.598206   0.183621   8.704  &lt; 2e-16 ***
## party_fe75   1.263530   0.158748   7.959 2.61e-15 ***
## party_fe76   0.603366   0.221809   2.720 0.006570 ** 
## party_fe77   2.590765   0.166747  15.537  &lt; 2e-16 ***
## party_fe78   1.825949   0.382093   4.779 1.87e-06 ***
## party_fe79   0.664149   0.189200   3.510 0.000456 ***
## party_fe80   0.636821   0.285450   2.231 0.025775 *  
## party_fe81   0.368207   0.208782   1.764 0.077924 .  
## party_fe82  -0.122547   0.223530  -0.548 0.583580    
## party_fe83  -0.281424   0.185263  -1.519 0.128878    
## party_fe84   0.505292   0.244746   2.065 0.039069 *  
## party_fe85   0.718385   0.161764   4.441 9.35e-06 ***
## party_fe86   0.249442   0.524199   0.476 0.634220    
## party_fe87   2.410513   0.167754  14.369  &lt; 2e-16 ***
## party_fe88   0.862091   0.176370   4.888 1.08e-06 ***
## party_fe89   2.454965   0.286973   8.555  &lt; 2e-16 ***
## party_fe90   0.505292   0.244746   2.065 0.039069 *  
## party_fe91   1.077472   0.180959   5.954 2.99e-09 ***
## party_fe92   1.741734   0.180959   9.625  &lt; 2e-16 ***
## party_fe93   1.393072   0.180959   7.698 1.98e-14 ***
## party_fe94   0.636821   0.285450   2.231 0.025775 *  
## party_fe95   1.166013   0.382093   3.052 0.002300 ** 
## party_fe96   1.297526   0.167754   7.735 1.50e-14 ***
## party_fe97   2.450063   0.286973   8.538  &lt; 2e-16 ***
## party_fe98   1.818683   0.285450   6.371 2.23e-10 ***
## party_fe99   1.459500   0.525897   2.775 0.005557 ** 
## party_fe100  2.177291   0.246203   8.843  &lt; 2e-16 ***
## party_fe101  1.270744   0.285468   4.451 8.91e-06 ***
## party_fe102  2.743489   0.192036  14.286  &lt; 2e-16 ***
## party_fe103  2.281700   0.244746   9.323  &lt; 2e-16 ***
## party_fe104  1.818683   0.285450   6.371 2.23e-10 ***
## party_fe105  1.799766   0.159834  11.260  &lt; 2e-16 ***
## party_fe106  1.695820   0.177120   9.574  &lt; 2e-16 ***
## party_fe107  0.781528   0.213474   3.661 0.000257 ***
## party_fe108 -0.303517   0.165496  -1.834 0.066776 .  
## party_fe109  0.169770   0.165496   1.026 0.305073    
## party_fe110  0.873447   0.322315   2.710 0.006777 ** 
## party_fe111  0.866731   0.383504   2.260 0.023906 *  
## party_fe112  0.256438   0.208114   1.232 0.217992    
## party_fe113  1.067717   0.165496   6.452 1.33e-10 ***
## party_fe114  0.837634   0.165496   5.061 4.47e-07 ***
## party_fe115  0.088457   0.381904   0.232 0.816851    
## party_fe116  0.544180   0.171559   3.172 0.001533 ** 
## party_fe117  0.407989   0.201831   2.021 0.043342 *  
## party_fe118 -0.026235   0.163525  -0.160 0.872550    
## party_fe119 -0.034739   0.321512  -0.108 0.913965    
## party_fe120  1.329265   0.163525   8.129 6.78e-16 ***
## party_fe121  1.291566   0.245441   5.262 1.55e-07 ***
## party_fe122  1.246565   0.192194   6.486 1.06e-10 ***
## party_fe123  1.165638   0.263289   4.427 9.96e-06 ***
## party_fe124 -0.176381   0.201009  -0.877 0.380313    
## party_fe125  0.370965   0.165520   2.241 0.025101 *  
## party_fe126 -0.102503   0.179502  -0.571 0.568026    
## party_fe127 -0.553662   0.526042  -1.053 0.292671    
## party_fe128  0.276315   0.165520   1.669 0.095170 .  
## party_fe129  1.596931   0.263289   6.065 1.52e-09 ***
## party_fe130  1.096145   0.165520   6.622 4.32e-11 ***
## party_fe131  2.233099   0.322344   6.928 5.44e-12 ***
## party_fe132  1.009046   0.165520   6.096 1.26e-09 ***
## party_fe133  0.066034   0.163301   0.404 0.685977    
## party_fe134 -0.469790   0.188421  -2.493 0.012721 *  
## party_fe135 -0.347120   0.320881  -1.082 0.279460    
## party_fe136  0.068265   0.524466   0.130 0.896450    
## party_fe137  0.378322   0.157496   2.402 0.016375 *  
## party_fe138  1.092375   0.157496   6.936 5.14e-12 ***
## party_fe139  1.793113   0.157496  11.385  &lt; 2e-16 ***
## party_fe140  0.722737   0.184674   3.914 9.34e-05 ***
## party_fe141  0.043044   0.261904   0.164 0.869469    
## party_fe142  0.514582   0.184674   2.786 0.005370 ** 
## party_fe143  1.435378   0.184674   7.772 1.12e-14 ***
## party_fe144  3.667569   0.320991  11.426  &lt; 2e-16 ***
## party_fe145  1.429429   0.184674   7.740 1.44e-14 ***
## party_fe146  0.804388   0.285495   2.818 0.004878 ** 
## party_fe147  0.518318   0.231956   2.235 0.025536 *  
## party_fe148  0.253467   0.157306   1.611 0.107241    
## party_fe149  0.576627   0.223364   2.582 0.009893 ** 
## party_fe150  0.627747   0.157306   3.991 6.78e-05 ***
## party_fe151  1.975639   0.157306  12.559  &lt; 2e-16 ***
## party_fe152  0.924159   0.196304   4.708 2.64e-06 ***
## party_fe153  0.124966   0.171112   0.730 0.465267    
## party_fe154 -0.674172   0.202603  -3.328 0.000889 ***
## party_fe155  0.007316   0.213939   0.034 0.972724    
## party_fe156  0.038299   0.157317   0.243 0.807679    
## party_fe157  1.170266   0.168066   6.963 4.25e-12 ***
## party_fe158  0.954190   0.157317   6.065 1.52e-09 ***
## party_fe159  0.604614   0.157317   3.843 0.000124 ***
## party_fe160  0.352212   0.524392   0.672 0.501865    
## party_fe161  0.241186   0.524392   0.460 0.645605    
## party_fe162  0.625867   0.524392   1.194 0.232785    
## party_fe163  0.723723   0.524392   1.380 0.167676    
## party_fe164  0.058295   0.320806   0.182 0.855821    
## party_fe165  0.032952   0.285355   0.115 0.908075    
## party_fe166  1.648574   0.285355   5.777 8.55e-09 ***
## party_fe167  1.610242   0.320806   5.019 5.55e-07 ***
## party_fe168  1.558596   0.320806   4.858 1.26e-06 ***
## party_fe169  0.674354   0.285355   2.363 0.018194 *  
## party_fe170  0.810811   0.285576   2.839 0.004559 ** 
## party_fe171  0.115851   0.244908   0.473 0.636227    
## party_fe172  0.569133   0.244908   2.324 0.020213 *  
## party_fe173  2.110716   0.244908   8.618  &lt; 2e-16 ***
## party_fe174  1.123850   0.285576   3.935 8.54e-05 ***
## party_fe175  1.358444   0.524115   2.592 0.009601 ** 
## party_fe176  1.864002   0.524115   3.556 0.000383 ***
## party_fe177  0.511064   0.321045   1.592 0.111541    
## party_fe178  0.816777   0.245063   3.333 0.000872 ***
## party_fe179  0.251128   0.245063   1.025 0.305582    
## party_fe180  1.385960   0.245063   5.656 1.73e-08 ***
## party_fe181  1.261288   0.245063   5.147 2.86e-07 ***
## party_fe182  2.147063   0.382035   5.620 2.12e-08 ***
## party_fe183  0.674836   0.285507   2.364 0.018174 *  
## party_fe184  0.952814   0.244962   3.890 0.000103 ***
## party_fe185  0.195058   0.285507   0.683 0.494546    
## party_fe186  0.770389   0.244962   3.145 0.001681 ** 
## party_fe187  1.451613   0.261954   5.541 3.32e-08 ***
## party_fe188  1.448186   0.261954   5.528 3.57e-08 ***
## party_fe189  0.960790   0.524487   1.832 0.067092 .  
## party_fe190  1.103683   0.524487   2.104 0.035452 *  
## party_fe191  0.628117   0.524487   1.198 0.231194    
## party_fe192  1.245388   0.524487   2.374 0.017649 *  
## party_fe193  1.256102   0.524487   2.395 0.016698 *  
## party_fe194  1.391102   0.524487   2.652 0.008046 ** 
## party_fe195  1.029043   0.524087   1.963 0.049700 *  
## party_fe196  1.280959   0.244867   5.231 1.83e-07 ***
## party_fe197  1.356446   0.244867   5.540 3.35e-08 ***
## party_fe198  1.384546   0.381947   3.625 0.000295 ***
## party_fe199  1.723548   0.382088   4.511 6.76e-06 ***
## party_fe200  1.366248   0.382088   3.576 0.000356 ***
## party_fe201  0.512321   0.524117   0.977 0.328420    
## party_fe202  0.662920   0.524117   1.265 0.206050    
## party_fe203  0.410833   0.245173   1.676 0.093927 .  
## party_fe204  1.816198   0.524117   3.465 0.000539 ***
## party_fe205  2.318213   0.245173   9.455  &lt; 2e-16 ***
## party_fe206  1.334534   0.245173   5.443 5.75e-08 ***
## party_fe207  1.564821   0.285880   5.474 4.85e-08 ***
## party_fe208  1.363207   0.245173   5.560 2.98e-08 ***
## party_fe209  0.716136   0.244896   2.924 0.003484 ** 
## party_fe210  0.911751   0.244896   3.723 0.000201 ***
## party_fe211  0.909186   0.244896   3.713 0.000210 ***
## party_fe212  0.606382   0.382178   1.587 0.112720    
## party_fe213  1.087386   0.244896   4.440 9.38e-06 ***
## party_fe214  0.871836   0.244896   3.560 0.000378 ***
## party_fe215  1.741911   0.244896   7.113 1.48e-12 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.5055 on 2469 degrees of freedom
## Multiple R-squared:  0.7279, Adjusted R-squared:  0.7005 
## F-statistic: 26.63 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="kw">stargazer</span>(model1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:12
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  spruled &amp; 0.004$^{**}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.003 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.043 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.029 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.113 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.285$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.256$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.099 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.163 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.235$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.290$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.375$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.391$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.042 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.069 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.057 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.040 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.023 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.054 \\ 
##   &amp; (0.199) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.033 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.028 \\ 
##   &amp; (0.201) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.106 \\ 
##   &amp; (0.228) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.162 \\ 
##   &amp; (0.230) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.116 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.178 \\ 
##   &amp; (0.220) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.096 \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.114 \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.413 \\ 
##   &amp; (0.293) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.419 \\ 
##   &amp; (0.265) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.310 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.425$^{*}$ \\ 
##   &amp; (0.231) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.457$^{*}$ \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.437$^{*}$ \\ 
##   &amp; (0.235) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.516$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.445$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.409$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 1.202$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 2.153$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.636$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.336 \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.284 \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.432$^{*}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.219$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.604$^{*}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.108 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.661$^{***}$ \\ 
##   &amp; (0.204) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.252 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.500$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.286$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.830$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.567$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 2.085$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.801$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.878$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 2.116$^{***}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.043 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.677$^{***}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; 0.138 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.654 \\ 
##   &amp; (0.526) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.412$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 1.309$^{***}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 1.274$^{***}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.600$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.716$^{***}$ \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.128 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.154 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.374 \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.403$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.384$^{***}$ \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.607$^{*}$ \\ 
##   &amp; (0.322) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.341$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.587$^{*}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.132 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.797$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 1.118$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.676$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.497$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.265 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.003 \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.247 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.538$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.601$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.329 \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.766$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.563$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.902$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 1.094$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.580$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.133 \\ 
##   &amp; (0.287) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.277 \\ 
##   &amp; (0.215) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.300 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.009 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.358$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.754 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.126 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.909$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.489$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.107 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.825$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.455$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.011 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.978$^{*}$ \\ 
##   &amp; (0.528) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.632 \\ 
##   &amp; (0.528) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.520$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.598$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.264$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.603$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.591$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.826$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.664$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.637$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.368$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.123 \\ 
##   &amp; (0.224) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.281 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.505$^{**}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.718$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.249 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.411$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.862$^{***}$ \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.455$^{***}$ \\ 
##   &amp; (0.287) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.505$^{**}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 1.077$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.742$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.393$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.637$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 1.166$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.298$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.450$^{***}$ \\ 
##   &amp; (0.287) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.819$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.459$^{***}$ \\ 
##   &amp; (0.526) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.177$^{***}$ \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 1.271$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.743$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.282$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.819$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.800$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.696$^{***}$ \\ 
##   &amp; (0.177) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.782$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.304$^{*}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.170 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.873$^{***}$ \\ 
##   &amp; (0.322) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.867$^{**}$ \\ 
##   &amp; (0.384) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.256 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 1.068$^{***}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.838$^{***}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.088 \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.544$^{***}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.408$^{**}$ \\ 
##   &amp; (0.202) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.026 \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.035 \\ 
##   &amp; (0.322) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.329$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.292$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 1.247$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.166$^{***}$ \\ 
##   &amp; (0.263) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.176 \\ 
##   &amp; (0.201) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.371$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.103 \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.554 \\ 
##   &amp; (0.526) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.276$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.597$^{***}$ \\ 
##   &amp; (0.263) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 1.096$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.233$^{***}$ \\ 
##   &amp; (0.322) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 1.009$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.066 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.470$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.347 \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.068 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.378$^{**}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 1.092$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.793$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.723$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.043 \\ 
##   &amp; (0.262) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.515$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.435$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.668$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.429$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.804$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.518$^{**}$ \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.253 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.577$^{***}$ \\ 
##   &amp; (0.223) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.628$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.976$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.924$^{***}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.125 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.674$^{***}$ \\ 
##   &amp; (0.203) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.007 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.038 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 1.170$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.954$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.605$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.352 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.241 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.626 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.724 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.058 \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; 0.033 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.649$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.610$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.559$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.674$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.811$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; 0.116 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.569$^{**}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 2.111$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 1.124$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.358$^{***}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.864$^{***}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.511 \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.817$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.251 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.386$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.261$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 2.147$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.675$^{**}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.953$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.195 \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.770$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.452$^{***}$ \\ 
##   &amp; (0.262) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.448$^{***}$ \\ 
##   &amp; (0.262) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.961$^{*}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 1.104$^{**}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.628 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.245$^{**}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.256$^{**}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.391$^{***}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 1.029$^{**}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.281$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.356$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.385$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.724$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.366$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.512 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.663 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.411$^{*}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.816$^{***}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 2.318$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 1.335$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.565$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.363$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.716$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.912$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.909$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.606 \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 1.087$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.872$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.742$^{***}$ \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  Constant &amp; 4.128$^{***}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.728 \\ 
## Adjusted R$^{2}$ &amp; 0.701 \\ 
## Residual Std. Error &amp; 0.505 (df = 2469) \\ 
## F Statistic &amp; 26.629$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1"><span class="co"># Model 2 in Table 2</span></a>
<a class="sourceLine" id="cb7-2" data-line-number="2"></a>
<a class="sourceLine" id="cb7-3" data-line-number="3">model2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb7-4" data-line-number="4"></a>
<a class="sourceLine" id="cb7-5" data-line-number="5">model2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model2, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb7-6" data-line-number="6"><span class="kw">summary</span>(model2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model2, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.95769 -0.09712 -0.00075  0.10619  2.05656 
## 
## Coefficients:
##                Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)   -1.561832   0.836342  -1.867 0.061956 .  
## lag_rile       0.750543   0.012874  58.301  &lt; 2e-16 ***
## lag_cmedian    0.500752   0.158971   3.150 0.001653 ** 
## lag_econ_glob  0.032493   0.011342   2.865 0.004207 ** 
## interaction   -0.006664   0.002127  -3.133 0.001752 ** 
## spruled        0.003775   0.001211   3.116 0.001854 ** 
## year_fe2       0.028177   0.067457   0.418 0.676206    
## year_fe3       0.026090   0.066697   0.391 0.695702    
## year_fe4       0.034703   0.067289   0.516 0.606094    
## year_fe5       0.076057   0.068027   1.118 0.263658    
## year_fe6       0.162310   0.068406   2.373 0.017733 *  
## year_fe7       0.149128   0.070034   2.129 0.033322 *  
## year_fe8       0.118153   0.066507   1.777 0.075764 .  
## year_fe9      -0.055154   0.074375  -0.742 0.458418    
## year_fe10     -0.029069   0.085010  -0.342 0.732414    
## year_fe11      0.017245   0.075273   0.229 0.818812    
## year_fe12      0.049266   0.071142   0.693 0.488686    
## year_fe13      0.127883   0.066816   1.914 0.055741 .  
## year_fe14      0.126757   0.066839   1.896 0.058018 .  
## year_fe15     -0.178683   0.085351  -2.094 0.036405 *  
## year_fe16     -0.182419   0.110433  -1.652 0.098693 .  
## year_fe17     -0.169975   0.104839  -1.621 0.105084    
## year_fe18     -0.129161   0.105847  -1.220 0.222484    
## year_fe19     -0.072452   0.094186  -0.769 0.441823    
## year_fe20     -0.173862   0.135583  -1.282 0.199848    
## year_fe21     -0.232975   0.142742  -1.632 0.102779    
## year_fe22     -0.225181   0.140513  -1.603 0.109158    
## year_fe23     -0.333784   0.158423  -2.107 0.035226 *  
## year_fe24     -0.334835   0.160226  -2.090 0.036741 *  
## year_fe25     -0.253905   0.149155  -1.702 0.088826 .  
## year_fe26     -0.305980   0.155771  -1.964 0.049608 *  
## year_fe27     -0.209621   0.121911  -1.719 0.085656 .  
## year_fe28     -0.182458   0.127091  -1.436 0.151228    
## year_fe29     -0.497995   0.200761  -2.481 0.013185 *  
## year_fe30     -0.464318   0.181689  -2.556 0.010661 *  
## year_fe31     -0.337655   0.151645  -2.227 0.026063 *  
## year_fe32     -0.402191   0.162849  -2.470 0.013589 *  
## year_fe33     -0.393495   0.167347  -2.351 0.018782 *  
## year_fe34     -0.366792   0.163010  -2.250 0.024529 *  
## party_fe2     -0.088350   0.118607  -0.745 0.456407    
## party_fe3     -0.008671   0.118635  -0.073 0.941741    
## party_fe4      0.303918   0.119888   2.535 0.011306 *  
## party_fe5      0.293358   0.119401   2.457 0.014083 *  
## party_fe6      0.458677   0.121894   3.763 0.000172 ***
## party_fe7     -0.141638   0.143852  -0.985 0.324913    
## party_fe8     -0.030705   0.143660  -0.214 0.830772    
## party_fe9      0.102173   0.143501   0.712 0.476533    
## party_fe10     0.156515   0.143527   1.090 0.275602    
## party_fe11     0.327377   0.144141   2.271 0.023219 *  
## party_fe12     0.172606   0.206321   0.837 0.402906    
## party_fe13    -0.085834   0.135006  -0.636 0.524981    
## party_fe14    -0.214397   0.131752  -1.627 0.103806    
## party_fe15    -0.039487   0.117384  -0.336 0.736602    
## party_fe16    -0.122789   0.101794  -1.206 0.227836    
## party_fe17     0.088819   0.101637   0.874 0.382270    
## party_fe18     0.452451   0.109839   4.119 3.93e-05 ***
## party_fe19     0.130177   0.101854   1.278 0.201344    
## party_fe20     0.517831   0.105060   4.929 8.82e-07 ***
## party_fe21     0.431405   0.106323   4.058 5.11e-05 ***
## party_fe22     0.459377   0.104439   4.399 1.14e-05 ***
## party_fe23     0.590536   0.129449   4.562 5.32e-06 ***
## party_fe24     0.010466   0.118270   0.088 0.929493    
## party_fe25    -0.209372   0.118485  -1.767 0.077340 .  
## party_fe26     0.003151   0.118303   0.027 0.978753    
## party_fe27     0.093537   0.338816   0.276 0.782516    
## party_fe28     0.324451   0.208182   1.558 0.119244    
## party_fe29     0.260233   0.119741   2.173 0.029853 *  
## party_fe30     0.260429   0.119648   2.177 0.029603 *  
## party_fe31     0.106706   0.105487   1.012 0.311848    
## party_fe32     0.190182   0.105607   1.801 0.071849 .  
## party_fe33     0.259373   0.158270   1.639 0.101382    
## party_fe34     0.123655   0.105572   1.171 0.241597    
## party_fe35     0.043059   0.103649   0.415 0.677864    
## party_fe36     0.109266   0.245620   0.445 0.656463    
## party_fe37     0.374498   0.104452   3.585 0.000343 ***
## party_fe38     0.370608   0.118454   3.129 0.001776 ** 
## party_fe39     0.194956   0.207152   0.941 0.346734    
## party_fe40     0.300163   0.187039   1.605 0.108663    
## party_fe41     0.181293   0.206860   0.876 0.380897    
## party_fe42     0.188044   0.149770   1.256 0.209396    
## party_fe43     0.775615   0.209181   3.708 0.000214 ***
## party_fe44     0.330103   0.103778   3.181 0.001487 ** 
## party_fe45     0.181357   0.103172   1.758 0.078905 .  
## party_fe46     0.160175   0.111268   1.440 0.150123    
## party_fe47     0.077325   0.117767   0.657 0.511504    
## party_fe48     0.088790   0.129273   0.687 0.492249    
## party_fe49     0.111684   0.102914   1.085 0.277934    
## party_fe50     0.186670   0.103070   1.811 0.070246 .  
## party_fe51     0.402752   0.104942   3.838 0.000127 ***
## party_fe52    -0.192995   0.206562  -0.934 0.350231    
## party_fe53     0.217260   0.103845   2.092 0.036526 *  
## party_fe54     0.149207   0.185650   0.804 0.421648    
## party_fe55     0.500929   0.144973   3.455 0.000559 ***
## party_fe56     0.134915   0.207035   0.652 0.514688    
## party_fe57     0.414602   0.187297   2.214 0.026947 *  
## party_fe58     0.088129   0.188306   0.468 0.639817    
## party_fe59     0.016893   0.144609   0.117 0.907016    
## party_fe60     0.133176   0.140611   0.947 0.343669    
## party_fe61     0.063053   0.157958   0.399 0.689800    
## party_fe62    -0.261862   0.126234  -2.074 0.038144 *  
## party_fe63    -0.200055   0.336941  -0.594 0.552741    
## party_fe64     0.023593   0.107052   0.220 0.825589    
## party_fe65     0.279152   0.107864   2.588 0.009710 ** 
## party_fe66     0.174909   0.107335   1.630 0.103322    
## party_fe67    -0.061896   0.122480  -0.505 0.613353    
## party_fe68     0.185539   0.189153   0.981 0.326740    
## party_fe69    -0.159844   0.111353  -1.435 0.151278    
## party_fe70    -0.007059   0.111079  -0.064 0.949336    
## party_fe71     0.248870   0.343784   0.724 0.469189    
## party_fe72     0.162433   0.343684   0.473 0.636524    
## party_fe73     0.336014   0.118656   2.832 0.004666 ** 
## party_fe74     0.375036   0.129650   2.893 0.003853 ** 
## party_fe75     0.268092   0.112409   2.385 0.017156 *  
## party_fe76     0.119914   0.147279   0.814 0.415610    
## party_fe77     0.616884   0.119367   5.168 2.56e-07 ***
## party_fe78     0.400760   0.248401   1.613 0.106795    
## party_fe79     0.139445   0.126799   1.100 0.271555    
## party_fe80     0.143898   0.185780   0.775 0.438675    
## party_fe81     0.114417   0.145674   0.785 0.432276    
## party_fe82    -0.038597   0.152047  -0.254 0.799631    
## party_fe83    -0.055591   0.122716  -0.453 0.650585    
## party_fe84     0.049809   0.159912   0.311 0.755466    
## party_fe85     0.186313   0.112204   1.660 0.096945 .  
## party_fe86     0.029102   0.337524   0.086 0.931296    
## party_fe87     0.616163   0.120335   5.120 3.28e-07 ***
## party_fe88     0.259296   0.124161   2.088 0.036865 *  
## party_fe89     0.644539   0.188312   3.423 0.000630 ***
## party_fe90     0.049809   0.159912   0.311 0.755466    
## party_fe91     0.304435   0.128048   2.378 0.017506 *  
## party_fe92     0.517344   0.129024   4.010 6.26e-05 ***
## party_fe93     0.386682   0.128495   3.009 0.002645 ** 
## party_fe94     0.143898   0.185780   0.775 0.438675    
## party_fe95     0.236135   0.247795   0.953 0.340712    
## party_fe96     0.357439   0.117613   3.039 0.002398 ** 
## party_fe97     0.643316   0.188303   3.416 0.000645 ***
## party_fe98     0.438721   0.186858   2.348 0.018959 *  
## party_fe99     0.321861   0.339147   0.949 0.342698    
## party_fe100    0.706586   0.162054   4.360 1.35e-05 ***
## party_fe101   -0.225489   0.187285  -1.204 0.228710    
## party_fe102    0.702659   0.130623   5.379 8.18e-08 ***
## party_fe103    0.716061   0.161618   4.431 9.81e-06 ***
## party_fe104    0.438721   0.186858   2.348 0.018959 *  
## party_fe105    0.500490   0.112336   4.455 8.75e-06 ***
## party_fe106    0.386437   0.119172   3.243 0.001200 ** 
## party_fe107    0.246066   0.140410   1.752 0.079815 .  
## party_fe108   -0.077783   0.112461  -0.692 0.489223    
## party_fe109    0.003989   0.112273   0.036 0.971658    
## party_fe110    0.091778   0.213919   0.429 0.667938    
## party_fe111    0.224850   0.252161   0.892 0.372644    
## party_fe112    0.033797   0.141927   0.238 0.811799    
## party_fe113    0.220434   0.112901   1.952 0.050998 .  
## party_fe114    0.163313   0.112627   1.450 0.147176    
## party_fe115    0.006681   0.248260   0.027 0.978532    
## party_fe116    0.123147   0.117236   1.050 0.293627    
## party_fe117   -0.052674   0.137523  -0.383 0.701736    
## party_fe118   -0.041158   0.112997  -0.364 0.715709    
## party_fe119   -0.066212   0.210957  -0.314 0.753650    
## party_fe120    0.212443   0.113926   1.865 0.062337 .  
## party_fe121    0.347989   0.164504   2.115 0.034498 *  
## party_fe122    0.209598   0.126243   1.660 0.096987 .  
## party_fe123    0.344866   0.172992   1.994 0.046313 *  
## party_fe124   -0.080258   0.130047  -0.617 0.537196    
## party_fe125   -0.014015   0.109199  -0.128 0.897884    
## party_fe126   -0.083398   0.117446  -0.710 0.477715    
## party_fe127   -0.230354   0.339023  -0.679 0.496908    
## party_fe128   -0.007529   0.109160  -0.069 0.945019    
## party_fe129    0.317651   0.173582   1.830 0.067375 .  
## party_fe130    0.200710   0.109814   1.828 0.067711 .  
## party_fe131    0.476700   0.211804   2.251 0.024495 *  
## party_fe132    0.187085   0.109683   1.706 0.088192 .  
## party_fe133   -0.002176   0.111229  -0.020 0.984394    
## party_fe134   -0.138528   0.127154  -1.089 0.276063    
## party_fe135   -0.087781   0.208394  -0.421 0.673627    
## party_fe136   -0.022422   0.338429  -0.066 0.947182    
## party_fe137    0.047279   0.108328   0.436 0.662554    
## party_fe138    0.232659   0.108794   2.139 0.032572 *  
## party_fe139    0.391958   0.110048   3.562 0.000375 ***
## party_fe140    0.113950   0.119151   0.956 0.338991    
## party_fe141    0.014487   0.168047   0.086 0.931308    
## party_fe142    0.040422   0.118994   0.340 0.734114    
## party_fe143    0.228956   0.120383   1.902 0.057301 .  
## party_fe144    0.883545   0.211633   4.175 3.08e-05 ***
## party_fe145    0.262236   0.120276   2.180 0.029331 *  
## party_fe146    0.150348   0.183497   0.819 0.412667    
## party_fe147    0.103091   0.150661   0.684 0.493876    
## party_fe148    0.051486   0.102612   0.502 0.615888    
## party_fe149    0.142886   0.144005   0.992 0.321185    
## party_fe150    0.121212   0.102793   1.179 0.238438    
## party_fe151    0.459959   0.105258   4.370 1.30e-05 ***
## party_fe152    0.194991   0.128148   1.522 0.128236    
## party_fe153    0.058830   0.111108   0.529 0.596518    
## party_fe154   -0.098291   0.133056  -0.739 0.460151    
## party_fe155    0.077623   0.138517   0.560 0.575266    
## party_fe156    0.056283   0.103267   0.545 0.585790    
## party_fe157    0.317973   0.110688   2.873 0.004105 ** 
## party_fe158    0.293634   0.104245   2.817 0.004890 ** 
## party_fe159    0.129303   0.103850   1.245 0.213215    
## party_fe160    0.147021   0.336726   0.437 0.662426    
## party_fe161    0.119325   0.336710   0.354 0.723081    
## party_fe162    0.215286   0.336793   0.639 0.522737    
## party_fe163    0.239697   0.336826   0.712 0.476759    
## party_fe164    0.003956   0.209136   0.019 0.984909    
## party_fe165   -0.220393   0.187193  -1.177 0.239167    
## party_fe166    0.395029   0.188092   2.100 0.035813 *  
## party_fe167    0.391099   0.209891   1.863 0.062532 .  
## party_fe168    0.378216   0.209835   1.802 0.071598 .  
## party_fe169    0.174466   0.187269   0.932 0.351617    
## party_fe170    0.138705   0.184487   0.752 0.452220    
## party_fe171   -0.015798   0.158261  -0.100 0.920496    
## party_fe172    0.172543   0.158428   1.089 0.276219    
## party_fe173    0.397442   0.161165   2.466 0.013729 *  
## party_fe174    0.329968   0.184642   1.787 0.074049 .  
## party_fe175    0.367284   0.337023   1.090 0.275913    
## party_fe176    0.493398   0.337427   1.462 0.143803    
## party_fe177    0.204974   0.209311   0.979 0.327538    
## party_fe178    0.236668   0.160222   1.477 0.139771    
## party_fe179   -0.028647   0.159859  -0.179 0.857794    
## party_fe180    0.441561   0.160884   2.745 0.006102 ** 
## party_fe181    0.434736   0.160643   2.706 0.006852 ** 
## party_fe182    0.615794   0.247419   2.489 0.012880 *  
## party_fe183    0.274928   0.184213   1.492 0.135710    
## party_fe184    0.248659   0.158168   1.572 0.116051    
## party_fe185    0.070605   0.184038   0.384 0.701277    
## party_fe186    0.158051   0.158040   1.000 0.317375    
## party_fe187    0.463005   0.169176   2.737 0.006248 ** 
## party_fe188    0.516917   0.169075   3.057 0.002257 ** 
## party_fe189    0.275890   0.339824   0.812 0.416950    
## party_fe190    0.311535   0.339889   0.917 0.359453    
## party_fe191    0.192902   0.339710   0.568 0.570193    
## party_fe192    0.346884   0.339964   1.020 0.307660    
## party_fe193    0.349557   0.339970   1.028 0.303956    
## party_fe194    0.383234   0.340051   1.127 0.259857    
## party_fe195    0.221047   0.340777   0.649 0.516621    
## party_fe196    0.369075   0.165107   2.235 0.025482 *  
## party_fe197    0.323583   0.165274   1.958 0.050360 .  
## party_fe198    0.090837   0.250512   0.363 0.716932    
## party_fe199    0.331999   0.253634   1.309 0.190667    
## party_fe200    0.242868   0.253333   0.959 0.337808    
## party_fe201    0.119799   0.336402   0.356 0.721781    
## party_fe202    0.157367   0.336435   0.468 0.640005    
## party_fe203   -0.033112   0.157721  -0.210 0.833729    
## party_fe204    0.445060   0.337060   1.320 0.186819    
## party_fe205    0.510317   0.160353   3.182 0.001478 ** 
## party_fe206    0.108126   0.158815   0.681 0.496043    
## party_fe207    0.440710   0.184529   2.388 0.017001 *  
## party_fe208    0.297070   0.158499   1.874 0.061012 .  
## party_fe209    0.132773   0.159190   0.834 0.404331    
## party_fe210    0.188697   0.159325   1.184 0.236388    
## party_fe211    0.321770   0.159193   2.021 0.043361 *  
## party_fe212    0.117004   0.246142   0.475 0.634579    
## party_fe213    0.260509   0.159448   1.634 0.102425    
## party_fe214    0.193567   0.159278   1.215 0.224376    
## party_fe215    0.398960   0.160355   2.488 0.012913 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3242 on 2465 degrees of freedom
## Multiple R-squared:  0.8882, Adjusted R-squared:  0.8768 
## F-statistic: 77.75 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw">stargazer</span>(model2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:13
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.501$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.032$^{***}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.007$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spruled &amp; 0.004$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.028 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.026 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.035 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.076 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.162$^{**}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.149$^{**}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.055 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.029 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.017 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.049 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.128$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.127$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.179$^{**}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.182$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.170 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.129 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.072 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.174 \\ 
##   &amp; (0.136) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.233 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.225 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.334$^{**}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.335$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.254$^{*}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.306$^{**}$ \\ 
##   &amp; (0.156) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.210$^{*}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.182 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.498$^{**}$ \\ 
##   &amp; (0.201) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.464$^{**}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.338$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.402$^{**}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.393$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.367$^{**}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.304$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.459$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.142 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.031 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.102 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.157 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.327$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.173 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.086 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.214 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.039 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.123 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.089 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.452$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.130 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.518$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.431$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.459$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.591$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.010 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.209$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; 0.003 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.094 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.324 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.260$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.260$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.107 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.190$^{*}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.259 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.124 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.043 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.109 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.374$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.371$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.195 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.300 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.181 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.188 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.776$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.330$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.160 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.077 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.089 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.112 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.187$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.403$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.193 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.217$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.149 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.501$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.135 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.415$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.088 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.017 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.133 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.063 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.262$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.200 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.024 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.279$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.175 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.062 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.186 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.160 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.007 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.249 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.162 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.375$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.120 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.617$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.401 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.139 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.144 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.114 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.039 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.056 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.050 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.186$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.029 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.616$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.259$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.645$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.050 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.304$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.517$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.387$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.144 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.236 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.357$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.643$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.439$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.322 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.707$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.225 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.703$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.716$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.439$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.500$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.386$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.246$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.078 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.004 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.092 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.225 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.034 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.220$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.163 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.007 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.123 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.053 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.041 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.066 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.212$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.348$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.345$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.080 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.014 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.083 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.230 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.008 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.318$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.201$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.477$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.187$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.002 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.139 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.088 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.022 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.047 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.392$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.114 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.014 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.040 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.229$^{*}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.884$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.262$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.150 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.103 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.143 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.121 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.195 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.059 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.098 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.078 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.056 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.318$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.294$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.129 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.147 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.119 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.215 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.240 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.004 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.220 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.395$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.391$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.378$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.174 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.139 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.016 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.173 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.397$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.330$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.367 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.493 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.205 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.237 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.029 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.435$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.616$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.275 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.249 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.071 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.158 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.463$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.517$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.276 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.312 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.193 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.347 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.350 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.383 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.221 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.369$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.324$^{*}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.091 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.332 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.243 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.120 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.157 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.033 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.445 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.510$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.108 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.441$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.297$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.133 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.189 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.322$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.117 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.261 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.194 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.399$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.562$^{*}$ \\ 
##   &amp; (0.836) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.746$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="co"># Model 3 in Table 1</span></a>
<a class="sourceLine" id="cb11-2" data-line-number="2"></a>
<a class="sourceLine" id="cb11-3" data-line-number="3">model3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb11-4" data-line-number="4"></a>
<a class="sourceLine" id="cb11-5" data-line-number="5">model3 &lt;-<span class="st"> </span><span class="kw">lm</span>(model3, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb11-6" data-line-number="6"><span class="kw">summary</span>(model3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model3, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.43442 -0.29724 -0.00849  0.24825  1.93704 
## 
## Coefficients:
##                    Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)        4.390852   0.152415  28.809  &lt; 2e-16 ***
## spsamegroup_ruled  0.004709   0.001040   4.529 6.20e-06 ***
## year_fe2           0.018090   0.104519   0.173 0.862603    
## year_fe3           0.013018   0.103598   0.126 0.900013    
## year_fe4           0.023714   0.103652   0.229 0.819055    
## year_fe5           0.130386   0.103433   1.261 0.207579    
## year_fe6           0.199448   0.102107   1.953 0.050894 .  
## year_fe7           0.205574   0.102093   2.014 0.044161 *  
## year_fe8           0.238045   0.100945   2.358 0.018443 *  
## year_fe9           0.183478   0.100631   1.823 0.068381 .  
## year_fe10          0.322713   0.096807   3.334 0.000870 ***
## year_fe11          0.333413   0.097194   3.430 0.000613 ***
## year_fe12          0.360867   0.096840   3.726 0.000199 ***
## year_fe13          0.391677   0.097811   4.004 6.40e-05 ***
## year_fe14          0.376688   0.096761   3.893 0.000102 ***
## year_fe15          0.168448   0.096486   1.746 0.080965 .  
## year_fe16          0.161994   0.096872   1.672 0.094601 .  
## year_fe17          0.145966   0.096561   1.512 0.130752    
## year_fe18          0.140394   0.097235   1.444 0.148905    
## year_fe19          0.143965   0.098660   1.459 0.144635    
## year_fe20          0.357881   0.094742   3.777 0.000162 ***
## year_fe21          0.360163   0.094230   3.822 0.000136 ***
## year_fe22          0.330050   0.095021   3.473 0.000523 ***
## year_fe23          0.198122   0.098511   2.011 0.044418 *  
## year_fe24          0.144297   0.098720   1.462 0.143957    
## year_fe25          0.144994   0.099386   1.459 0.144720    
## year_fe26          0.117743   0.098389   1.197 0.231531    
## year_fe27          0.102396   0.096016   1.066 0.286326    
## year_fe28          0.107647   0.095254   1.130 0.258540    
## year_fe29          0.094587   0.093015   1.017 0.309299    
## year_fe30          0.025076   0.092779   0.270 0.786969    
## year_fe31          0.021112   0.093033   0.227 0.820497    
## year_fe32         -0.056093   0.093760  -0.598 0.549723    
## year_fe33         -0.103073   0.096084  -1.073 0.283495    
## year_fe34         -0.086061   0.095679  -0.899 0.368489    
## party_fe2         -0.491085   0.184068  -2.668 0.007681 ** 
## party_fe3          0.327439   0.185803   1.762 0.078144 .  
## party_fe4          1.353197   0.184400   7.338 2.92e-13 ***
## party_fe5          1.127879   0.184713   6.106 1.18e-09 ***
## party_fe6          2.078626   0.184713  11.253  &lt; 2e-16 ***
## party_fe7         -0.615770   0.221586  -2.779 0.005495 ** 
## party_fe8         -0.315787   0.221586  -1.425 0.154250    
## party_fe9          0.304630   0.221586   1.375 0.169328    
## party_fe10         0.452277   0.221586   2.041 0.041348 *  
## party_fe11         1.239762   0.221586   5.595 2.45e-08 ***
## party_fe12         0.628390   0.320033   1.964 0.049698 *  
## party_fe13        -0.190109   0.208313  -0.913 0.361534    
## party_fe14        -0.746196   0.202521  -3.685 0.000234 ***
## party_fe15        -0.232034   0.181334  -1.280 0.200808    
## party_fe16        -0.543313   0.156828  -3.464 0.000540 ***
## party_fe17         0.133390   0.159155   0.838 0.402047    
## party_fe18         1.771256   0.165817  10.682  &lt; 2e-16 ***
## party_fe19         0.505828   0.156955   3.223 0.001286 ** 
## party_fe20         1.989300   0.157482  12.632  &lt; 2e-16 ***
## party_fe21         1.766449   0.160165  11.029  &lt; 2e-16 ***
## party_fe22         1.769782   0.157765  11.218  &lt; 2e-16 ***
## party_fe23         2.149740   0.195562  10.993  &lt; 2e-16 ***
## party_fe24         0.053010   0.181146   0.293 0.769824    
## party_fe25        -0.648911   0.181248  -3.580 0.000350 ***
## party_fe26        -0.011615   0.184001  -0.063 0.949673    
## party_fe27         0.698753   0.523885   1.334 0.182396    
## party_fe28         1.439028   0.319947   4.498 7.19e-06 ***
## party_fe29         1.260015   0.181422   6.945 4.81e-12 ***
## party_fe30         1.173265   0.182432   6.431 1.51e-10 ***
## party_fe31         0.382460   0.160724   2.380 0.017406 *  
## party_fe32         0.563821   0.160724   3.508 0.000460 ***
## party_fe33         0.706883   0.244102   2.896 0.003815 ** 
## party_fe34        -0.003645   0.162996  -0.022 0.982162    
## party_fe35         0.011629   0.160315   0.073 0.942177    
## party_fe36         0.381496   0.380906   1.002 0.316660    
## party_fe37         1.298669   0.157805   8.230 3.00e-16 ***
## party_fe38         1.339724   0.178131   7.521 7.56e-14 ***
## party_fe39         0.574069   0.319947   1.794 0.072893 .  
## party_fe40         1.302438   0.287099   4.537 5.99e-06 ***
## party_fe41         0.622235   0.320359   1.942 0.052213 .  
## party_fe42         0.134878   0.231301   0.583 0.559859    
## party_fe43         2.826309   0.320033   8.831  &lt; 2e-16 ***
## party_fe44         1.026795   0.157504   6.519 8.54e-11 ***
## party_fe45         0.566745   0.157914   3.589 0.000338 ***
## party_fe46         0.489343   0.170553   2.869 0.004151 ** 
## party_fe47         0.300772   0.181334   1.659 0.097311 .  
## party_fe48        -0.055539   0.197566  -0.281 0.778643    
## party_fe49         0.109690   0.159292   0.689 0.491137    
## party_fe50         0.464847   0.157429   2.953 0.003179 ** 
## party_fe51         1.547015   0.157099   9.847  &lt; 2e-16 ***
## party_fe52         0.388238   0.319873   1.214 0.224970    
## party_fe53         0.674645   0.158538   4.255 2.16e-05 ***
## party_fe54         0.483442   0.287099   1.684 0.092330 .  
## party_fe55         1.947720   0.221152   8.807  &lt; 2e-16 ***
## party_fe56         1.153192   0.319873   3.605 0.000318 ***
## party_fe57         2.620169   0.284650   9.205  &lt; 2e-16 ***
## party_fe58         0.108374   0.285750   0.379 0.704526    
## party_fe59        -0.317046   0.214414  -1.479 0.139358    
## party_fe60         0.313437   0.212956   1.472 0.141192    
## party_fe61         0.027371   0.244186   0.112 0.910759    
## party_fe62        -1.413230   0.180557  -7.827 7.35e-15 ***
## party_fe63        -0.718244   0.522768  -1.374 0.169590    
## party_fe64        -0.261668   0.159101  -1.645 0.100166    
## party_fe65         0.817974   0.157735   5.186 2.33e-07 ***
## party_fe66         0.390066   0.157924   2.470 0.013580 *  
## party_fe67        -0.096017   0.178576  -0.538 0.590846    
## party_fe68         0.904782   0.284883   3.176 0.001512 ** 
## party_fe69        -0.454228   0.156798  -2.897 0.003802 ** 
## party_fe70        -0.115546   0.159429  -0.725 0.468675    
## party_fe71         0.929148   0.526406   1.765 0.077674 .  
## party_fe72         0.582648   0.526406   1.107 0.268470    
## party_fe73         1.517225   0.165756   9.153  &lt; 2e-16 ***
## party_fe74         1.561676   0.183223   8.523  &lt; 2e-16 ***
## party_fe75         1.206754   0.158800   7.599 4.20e-14 ***
## party_fe76         0.625528   0.221152   2.829 0.004714 ** 
## party_fe77         2.619486   0.166209  15.760  &lt; 2e-16 ***
## party_fe78         1.887714   0.381052   4.954 7.76e-07 ***
## party_fe79         0.642489   0.188104   3.416 0.000647 ***
## party_fe80         0.662272   0.284588   2.327 0.020039 *  
## party_fe81         0.331383   0.208313   1.591 0.111784    
## party_fe82        -0.137768   0.222754  -0.618 0.536318    
## party_fe83        -0.287862   0.184291  -1.562 0.118418    
## party_fe84         0.528415   0.244021   2.165 0.030449 *  
## party_fe85         0.699919   0.161139   4.344 1.46e-05 ***
## party_fe86         0.291086   0.522459   0.557 0.577479    
## party_fe87         2.380358   0.167135  14.242  &lt; 2e-16 ***
## party_fe88         0.796320   0.176367   4.515 6.63e-06 ***
## party_fe89         2.439225   0.284727   8.567  &lt; 2e-16 ***
## party_fe90         0.537883   0.244077   2.204 0.027635 *  
## party_fe91         1.040689   0.180557   5.764 9.25e-09 ***
## party_fe92         1.704951   0.180557   9.443  &lt; 2e-16 ***
## party_fe93         1.356289   0.180557   7.512 8.11e-14 ***
## party_fe94         0.662272   0.284588   2.327 0.020039 *  
## party_fe95         1.227779   0.381052   3.222 0.001289 ** 
## party_fe96         1.182129   0.168602   7.011 3.03e-12 ***
## party_fe97         2.299786   0.285193   8.064 1.14e-15 ***
## party_fe98         1.844134   0.284588   6.480 1.10e-10 ***
## party_fe99         1.455154   0.524158   2.776 0.005542 ** 
## party_fe100        2.161160   0.244366   8.844  &lt; 2e-16 ***
## party_fe101        1.319548   0.284650   4.636 3.74e-06 ***
## party_fe102        2.645468   0.191808  13.792  &lt; 2e-16 ***
## party_fe103        2.314291   0.244077   9.482  &lt; 2e-16 ***
## party_fe104        1.844134   0.284588   6.480 1.10e-10 ***
## party_fe105        1.781174   0.159255  11.184  &lt; 2e-16 ***
## party_fe106        1.689853   0.176298   9.585  &lt; 2e-16 ***
## party_fe107        0.820318   0.212954   3.852 0.000120 ***
## party_fe108       -0.282165   0.164925  -1.711 0.087230 .  
## party_fe109        0.050535   0.167335   0.302 0.762678    
## party_fe110        0.841249   0.321372   2.618 0.008907 ** 
## party_fe111        0.833107   0.382341   2.179 0.029429 *  
## party_fe112        0.144422   0.209084   0.691 0.489797    
## party_fe113        0.962576   0.166835   5.770 8.94e-09 ***
## party_fe114        0.779155   0.165585   4.705 2.67e-06 ***
## party_fe115        0.121191   0.380705   0.318 0.750259    
## party_fe116        0.549895   0.170953   3.217 0.001314 ** 
## party_fe117        0.452589   0.200709   2.255 0.024224 *  
## party_fe118       -0.129972   0.164887  -0.788 0.430629    
## party_fe119        0.032988   0.319989   0.103 0.917900    
## party_fe120        1.284539   0.163383   7.862 5.59e-15 ***
## party_fe121        1.337816   0.244468   5.472 4.89e-08 ***
## party_fe122        1.261672   0.191555   6.586 5.48e-11 ***
## party_fe123        1.124355   0.262533   4.283 1.92e-05 ***
## party_fe124       -0.113742   0.200450  -0.567 0.570473    
## party_fe125        0.389877   0.164912   2.364 0.018149 *  
## party_fe126       -0.054740   0.178847  -0.306 0.759576    
## party_fe127       -0.581213   0.524391  -1.108 0.267815    
## party_fe128        0.156759   0.167414   0.936 0.349182    
## party_fe129        1.555647   0.262533   5.926 3.55e-09 ***
## party_fe130        0.997807   0.166670   5.987 2.45e-09 ***
## party_fe131        2.185862   0.321316   6.803 1.28e-11 ***
## party_fe132        1.037327   0.164947   6.289 3.77e-10 ***
## party_fe133        0.048519   0.162670   0.298 0.765527    
## party_fe134       -0.462726   0.187805  -2.464 0.013813 *  
## party_fe135       -0.338157   0.319815  -1.057 0.290454    
## party_fe136        0.093168   0.522768   0.178 0.858565    
## party_fe137        0.238251   0.159147   1.497 0.134507    
## party_fe138        1.012571   0.157415   6.432 1.50e-10 ***
## party_fe139        1.695880   0.157803  10.747  &lt; 2e-16 ***
## party_fe140        0.709938   0.183983   3.859 0.000117 ***
## party_fe141        0.063788   0.261050   0.244 0.806978    
## party_fe142        0.348098   0.187086   1.861 0.062915 .  
## party_fe143        1.463552   0.184205   7.945 2.92e-15 ***
## party_fe144        3.671548   0.319947  11.476  &lt; 2e-16 ***
## party_fe145        1.321236   0.185185   7.135 1.27e-12 ***
## party_fe146        0.831375   0.284650   2.921 0.003524 ** 
## party_fe147        0.585205   0.231466   2.528 0.011525 *  
## party_fe148        0.130067   0.159233   0.817 0.414099    
## party_fe149        0.534732   0.222754   2.401 0.016444 *  
## party_fe150        0.630531   0.156796   4.021 5.96e-05 ***
## party_fe151        1.892752   0.157920  11.986  &lt; 2e-16 ***
## party_fe152        0.969737   0.195762   4.954 7.78e-07 ***
## party_fe153        0.136214   0.170585   0.799 0.424651    
## party_fe154       -0.703373   0.202080  -3.481 0.000509 ***
## party_fe155        0.048594   0.213319   0.228 0.819823    
## party_fe156       -0.095945   0.159386  -0.602 0.547251    
## party_fe157        1.116692   0.167834   6.654 3.51e-11 ***
## party_fe158        0.882285   0.157498   5.602 2.36e-08 ***
## party_fe159        0.590347   0.156811   3.765 0.000171 ***
## party_fe160        0.341405   0.522458   0.653 0.513522    
## party_fe161        0.230378   0.522458   0.441 0.659288    
## party_fe162        0.615059   0.522458   1.177 0.239213    
## party_fe163        0.712915   0.522458   1.365 0.172522    
## party_fe164        0.085833   0.319815   0.268 0.788426    
## party_fe165        0.061361   0.284483   0.216 0.829244    
## party_fe166        1.676982   0.284483   5.895 4.26e-09 ***
## party_fe167        1.637780   0.319815   5.121 3.27e-07 ***
## party_fe168        1.586134   0.319815   4.960 7.55e-07 ***
## party_fe169        0.702763   0.284483   2.470 0.013566 *  
## party_fe170        0.831180   0.284650   2.920 0.003532 ** 
## party_fe171        0.139608   0.244186   0.572 0.567558    
## party_fe172        0.510668   0.244288   2.090 0.036681 *  
## party_fe173        2.125953   0.244134   8.708  &lt; 2e-16 ***
## party_fe174        1.088388   0.284540   3.825 0.000134 ***
## party_fe175        1.387488   0.522458   2.656 0.007965 ** 
## party_fe176        1.893046   0.522458   3.623 0.000297 ***
## party_fe177        0.536344   0.320033   1.676 0.093884 .  
## party_fe178        0.743846   0.244327   3.044 0.002355 ** 
## party_fe179        0.264376   0.244186   1.083 0.279055    
## party_fe180        1.343664   0.244107   5.504 4.09e-08 ***
## party_fe181        1.274536   0.244186   5.220 1.94e-07 ***
## party_fe182        2.150380   0.380705   5.648 1.80e-08 ***
## party_fe183        0.700589   0.284650   2.461 0.013914 *  
## party_fe184        0.894179   0.244249   3.661 0.000257 ***
## party_fe185        0.220812   0.284650   0.776 0.437983    
## party_fe186        0.789615   0.244186   3.234 0.001238 ** 
## party_fe187        1.464531   0.261054   5.610 2.25e-08 ***
## party_fe188        1.461104   0.261054   5.597 2.42e-08 ***
## party_fe189        0.944248   0.522458   1.807 0.070834 .  
## party_fe190        1.087141   0.522458   2.081 0.037553 *  
## party_fe191        0.611575   0.522458   1.171 0.241884    
## party_fe192        1.228846   0.522458   2.352 0.018749 *  
## party_fe193        1.239560   0.522458   2.373 0.017742 *  
## party_fe194        1.374560   0.522458   2.631 0.008568 ** 
## party_fe195        1.057601   0.522431   2.024 0.043038 *  
## party_fe196        1.276111   0.244076   5.228 1.85e-07 ***
## party_fe197        1.392144   0.244153   5.702 1.33e-08 ***
## party_fe198        1.424316   0.380705   3.741 0.000187 ***
## party_fe199        1.614390   0.381680   4.230 2.43e-05 ***
## party_fe200        1.426464   0.381052   3.743 0.000186 ***
## party_fe201        0.542532   0.522458   1.038 0.299175    
## party_fe202        0.693132   0.522458   1.327 0.184739    
## party_fe203        0.336395   0.244292   1.377 0.168631    
## party_fe204        1.846409   0.522458   3.534 0.000417 ***
## party_fe205        2.291722   0.244064   9.390  &lt; 2e-16 ***
## party_fe206        1.308043   0.244064   5.359 9.12e-08 ***
## party_fe207        1.570371   0.284650   5.517 3.81e-08 ***
## party_fe208        1.371400   0.244186   5.616 2.17e-08 ***
## party_fe209        0.741131   0.244186   3.035 0.002430 ** 
## party_fe210        0.936746   0.244186   3.836 0.000128 ***
## party_fe211        0.869731   0.244152   3.562 0.000375 ***
## party_fe212        0.643914   0.381052   1.690 0.091186 .  
## party_fe213        1.112381   0.244186   4.555 5.48e-06 ***
## party_fe214        0.896831   0.244186   3.673 0.000245 ***
## party_fe215        1.766906   0.244186   7.236 6.14e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.5039 on 2469 degrees of freedom
## Multiple R-squared:  0.7296, Adjusted R-squared:  0.7025 
## F-statistic: 26.86 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" data-line-number="1"><span class="kw">stargazer</span>(model3)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:14
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  spsamegroup\_ruled &amp; 0.005$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.018 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.013 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.024 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.130 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.199$^{*}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.206$^{**}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.238$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.333$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.361$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.392$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.377$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.168$^{*}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.162$^{*}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.146 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.140 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.144 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.358$^{***}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.330$^{***}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.198$^{**}$ \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.144 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.145 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.118 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.102 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.108 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.095 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.025 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.021 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.056 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.103 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.086 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.491$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.327$^{*}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.353$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 1.128$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 2.079$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.616$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.316 \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.305 \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.452$^{**}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.240$^{***}$ \\ 
##   &amp; (0.222) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.628$^{**}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.190 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.746$^{***}$ \\ 
##   &amp; (0.203) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.232 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.543$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.133 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.771$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.506$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 1.989$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.766$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.770$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 2.150$^{***}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.053 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.649$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.012 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.699 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.439$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 1.260$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 1.173$^{***}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.382$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.564$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.707$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; $-$0.004 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.012 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.381 \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.299$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.340$^{***}$ \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.574$^{*}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.302$^{***}$ \\ 
##   &amp; (0.287) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.622$^{*}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.135 \\ 
##   &amp; (0.231) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.826$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 1.027$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.567$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.489$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.301$^{*}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.056 \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.110 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.465$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.547$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.388 \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.675$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.483$^{*}$ \\ 
##   &amp; (0.287) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.948$^{***}$ \\ 
##   &amp; (0.221) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 1.153$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.620$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.108 \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.317 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.313 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.027 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.413$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.718 \\ 
##   &amp; (0.523) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.262 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.818$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.096 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.905$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.454$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.116 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.929$^{*}$ \\ 
##   &amp; (0.526) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.583 \\ 
##   &amp; (0.526) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.517$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.562$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.207$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.626$^{***}$ \\ 
##   &amp; (0.221) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.619$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.888$^{***}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.642$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.662$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.331 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.138 \\ 
##   &amp; (0.223) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.288 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.528$^{**}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.700$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.291 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.380$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.796$^{***}$ \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.439$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.538$^{**}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 1.041$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.705$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.356$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.662$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 1.228$^{***}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.182$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.300$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.844$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.455$^{***}$ \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.161$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 1.320$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.645$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.314$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.844$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.781$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.690$^{***}$ \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.820$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.282$^{*}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.051 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.841$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.833$^{**}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.144 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.963$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.779$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.121 \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.550$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.453$^{**}$ \\ 
##   &amp; (0.201) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.130 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; 0.033 \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.285$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.338$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 1.262$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.124$^{***}$ \\ 
##   &amp; (0.263) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.114 \\ 
##   &amp; (0.200) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.055 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.581 \\ 
##   &amp; (0.524) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.157 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.556$^{***}$ \\ 
##   &amp; (0.263) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.998$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.186$^{***}$ \\ 
##   &amp; (0.321) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 1.037$^{***}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.049 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.463$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.338 \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.093 \\ 
##   &amp; (0.523) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.238 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 1.013$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.696$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.710$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.064 \\ 
##   &amp; (0.261) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.348$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.464$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.672$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.321$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.831$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.585$^{**}$ \\ 
##   &amp; (0.231) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.130 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.535$^{**}$ \\ 
##   &amp; (0.223) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.631$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.893$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.970$^{***}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.136 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.703$^{***}$ \\ 
##   &amp; (0.202) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.049 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.096 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 1.117$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.882$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.341 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.230 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.615 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.713 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.086 \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; 0.061 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.677$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.638$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.586$^{***}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.703$^{**}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.831$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; 0.140 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.511$^{**}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 2.126$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 1.088$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.387$^{***}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.893$^{***}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.536$^{*}$ \\ 
##   &amp; (0.320) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.744$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.264 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.344$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.275$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 2.150$^{***}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.701$^{**}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.894$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.221 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.790$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.465$^{***}$ \\ 
##   &amp; (0.261) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.461$^{***}$ \\ 
##   &amp; (0.261) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.944$^{*}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 1.087$^{**}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.612 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.229$^{**}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.240$^{**}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.375$^{***}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 1.058$^{**}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.276$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.392$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.424$^{***}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.614$^{***}$ \\ 
##   &amp; (0.382) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.426$^{***}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.543 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.693 \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.336 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.846$^{***}$ \\ 
##   &amp; (0.522) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 2.292$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 1.308$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.570$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.371$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.741$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.937$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.870$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.644$^{*}$ \\ 
##   &amp; (0.381) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 1.112$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.897$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.767$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  Constant &amp; 4.391$^{***}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.730 \\ 
## Adjusted R$^{2}$ &amp; 0.702 \\ 
## Residual Std. Error &amp; 0.504 (df = 2469) \\ 
## F Statistic &amp; 26.865$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" data-line-number="1"><span class="co"># Model 4 in Table 1</span></a>
<a class="sourceLine" id="cb15-2" data-line-number="2"></a>
<a class="sourceLine" id="cb15-3" data-line-number="3">model4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb15-4" data-line-number="4"></a>
<a class="sourceLine" id="cb15-5" data-line-number="5">model4 &lt;-<span class="st"> </span><span class="kw">lm</span>(model4, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb15-6" data-line-number="6"><span class="kw">summary</span>(model4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model4, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92707 -0.09845 -0.00077  0.10566  2.07733 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -1.0999860  0.8191926  -1.343 0.179471    
## lag_rile           0.7490005  0.0129123  58.007  &lt; 2e-16 ***
## lag_cmedian        0.4525593  0.1578737   2.867 0.004184 ** 
## lag_econ_glob      0.0289559  0.0112513   2.574 0.010124 *  
## interaction       -0.0059652  0.0021113  -2.825 0.004761 ** 
## spsamegroup_ruled  0.0017571  0.0006744   2.605 0.009233 ** 
## year_fe2           0.0408632  0.0673713   0.607 0.544214    
## year_fe3           0.0093755  0.0667574   0.140 0.888323    
## year_fe4           0.0435771  0.0671624   0.649 0.516507    
## year_fe5           0.1023795  0.0672384   1.523 0.127978    
## year_fe6           0.1131705  0.0672570   1.683 0.092568 .  
## year_fe7           0.0818266  0.0674692   1.213 0.225323    
## year_fe8           0.1086475  0.0666009   1.631 0.102950    
## year_fe9           0.0353968  0.0672198   0.527 0.598531    
## year_fe10          0.1325173  0.0650320   2.038 0.041684 *  
## year_fe11          0.1255806  0.0648094   1.938 0.052775 .  
## year_fe12          0.1317801  0.0645663   2.041 0.041357 *  
## year_fe13          0.1602069  0.0654226   2.449 0.014402 *  
## year_fe14          0.1272914  0.0669166   1.902 0.057256 .  
## year_fe15         -0.0344060  0.0679176  -0.507 0.612492    
## year_fe16          0.0645806  0.0692956   0.932 0.351450    
## year_fe17          0.0527750  0.0695304   0.759 0.447913    
## year_fe18          0.0846682  0.0716498   1.182 0.237441    
## year_fe19          0.0842313  0.0731961   1.151 0.249942    
## year_fe20          0.1554401  0.0718114   2.165 0.030517 *  
## year_fe21          0.1183076  0.0737949   1.603 0.109020    
## year_fe22          0.1075854  0.0772774   1.392 0.163988    
## year_fe23          0.0355577  0.0818323   0.435 0.663949    
## year_fe24          0.0380402  0.0826385   0.460 0.645327    
## year_fe25          0.0708276  0.0871324   0.813 0.416369    
## year_fe26          0.0495222  0.0852285   0.581 0.561258    
## year_fe27          0.0330350  0.0819613   0.403 0.686942    
## year_fe28          0.0817843  0.0818908   0.999 0.318038    
## year_fe29          0.0345081  0.0821431   0.420 0.674451    
## year_fe30          0.0076394  0.0791737   0.096 0.923140    
## year_fe31          0.0251253  0.0811831   0.309 0.756976    
## year_fe32         -0.0030770  0.0828549  -0.037 0.970378    
## year_fe33          0.0130633  0.0812184   0.161 0.872231    
## year_fe34          0.0306006  0.0801353   0.382 0.702597    
## party_fe2         -0.0797668  0.1187173  -0.672 0.501707    
## party_fe3         -0.0515855  0.1198133  -0.431 0.666834    
## party_fe4          0.2852364  0.1201428   2.374 0.017666 *  
## party_fe5          0.2675021  0.1198485   2.232 0.025704 *  
## party_fe6          0.4344359  0.1222612   3.553 0.000388 ***
## party_fe7         -0.1253175  0.1438829  -0.871 0.383856    
## party_fe8         -0.0139963  0.1436951  -0.097 0.922414    
## party_fe9          0.1198838  0.1435500   0.835 0.403722    
## party_fe10         0.1744177  0.1435781   1.215 0.224561    
## party_fe11         0.3465473  0.1442135   2.403 0.016334 *  
## party_fe12         0.1681612  0.2064341   0.815 0.415380    
## party_fe13        -0.1341197  0.1348253  -0.995 0.319947    
## party_fe14        -0.2675129  0.1314792  -2.035 0.041994 *  
## party_fe15        -0.0467545  0.1173774  -0.398 0.690425    
## party_fe16        -0.1568234  0.1014941  -1.545 0.122439    
## party_fe17         0.0151162  0.1027688   0.147 0.883074    
## party_fe18         0.4147664  0.1094062   3.791 0.000154 ***
## party_fe19         0.0911805  0.1015735   0.898 0.369444    
## party_fe20         0.4682736  0.1049446   4.462 8.48e-06 ***
## party_fe21         0.4041784  0.1059502   3.815 0.000140 ***
## party_fe22         0.4048181  0.1044892   3.874 0.000110 ***
## party_fe23         0.5942552  0.1296793   4.582 4.82e-06 ***
## party_fe24         0.0098447  0.1183438   0.083 0.933709    
## party_fe25        -0.2044700  0.1186145  -1.724 0.084866 .  
## party_fe26        -0.0567536  0.1200917  -0.473 0.636551    
## party_fe27         0.1292584  0.3389116   0.381 0.702945    
## party_fe28         0.3437930  0.2083166   1.650 0.099001 .  
## party_fe29         0.2394297  0.1198864   1.997 0.045920 *  
## party_fe30         0.2202501  0.1203310   1.830 0.067315 .  
## party_fe31         0.0763447  0.1052459   0.725 0.468279    
## party_fe32         0.1600219  0.1053615   1.519 0.128944    
## party_fe33         0.2356251  0.1580197   1.491 0.136060    
## party_fe34         0.0616698  0.1069482   0.577 0.564240    
## party_fe35        -0.0255810  0.1050197  -0.244 0.807575    
## party_fe36         0.0947476  0.2456490   0.386 0.699750    
## party_fe37         0.3232343  0.1049494   3.080 0.002094 ** 
## party_fe38         0.3474862  0.1186114   2.930 0.003425 ** 
## party_fe39         0.1559513  0.2068444   0.754 0.450949    
## party_fe40         0.2920448  0.1872658   1.560 0.119002    
## party_fe41         0.1744854  0.2069570   0.843 0.399254    
## party_fe42         0.1730163  0.1496865   1.156 0.247852    
## party_fe43         0.7843038  0.2094280   3.745 0.000185 ***
## party_fe44         0.2832353  0.1041192   2.720 0.006568 ** 
## party_fe45         0.1274038  0.1038397   1.227 0.219967    
## party_fe46         0.1564688  0.1113375   1.405 0.160041    
## party_fe47         0.0912961  0.1179385   0.774 0.438947    
## party_fe48         0.0601091  0.1295546   0.464 0.642712    
## party_fe49         0.0570653  0.1047548   0.545 0.585974    
## party_fe50         0.1561393  0.1035968   1.507 0.131892    
## party_fe51         0.3813183  0.1051622   3.626 0.000294 ***
## party_fe52        -0.1533373  0.2065223  -0.742 0.457871    
## party_fe53         0.1808923  0.1046268   1.729 0.083947 .  
## party_fe54         0.1036165  0.1857391   0.558 0.576990    
## party_fe55         0.5291184  0.1451179   3.646 0.000272 ***
## party_fe56         0.1754702  0.2070155   0.848 0.396733    
## party_fe57         0.4366504  0.1875597   2.328 0.019989 *  
## party_fe58         0.0760839  0.1884934   0.404 0.686511    
## party_fe59        -0.0072378  0.1448731  -0.050 0.960159    
## party_fe60         0.1411926  0.1406797   1.004 0.315648    
## party_fe61         0.0600436  0.1580429   0.380 0.704038    
## party_fe62        -0.2989630  0.1266401  -2.361 0.018317 *  
## party_fe63        -0.1947085  0.3371687  -0.577 0.563667    
## party_fe64        -0.0357191  0.1089730  -0.328 0.743107    
## party_fe65         0.2380059  0.1086571   2.190 0.028586 *  
## party_fe66         0.1303144  0.1083185   1.203 0.229066    
## party_fe67        -0.0526315  0.1226425  -0.429 0.667855    
## party_fe68         0.2291302  0.1897801   1.207 0.227415    
## party_fe69        -0.1551125  0.1114605  -1.392 0.164158    
## party_fe70        -0.0491124  0.1120786  -0.438 0.661283    
## party_fe71         0.2385059  0.3439900   0.693 0.488155    
## party_fe72         0.1515349  0.3438921   0.441 0.659508    
## party_fe73         0.3458096  0.1187963   2.911 0.003636 ** 
## party_fe74         0.3677466  0.1296958   2.835 0.004613 ** 
## party_fe75         0.2544110  0.1125166   2.261 0.023840 *  
## party_fe76         0.1251432  0.1475186   0.848 0.396342    
## party_fe77         0.6397423  0.1197904   5.341 1.01e-07 ***
## party_fe78         0.4312043  0.2488329   1.733 0.083237 .  
## party_fe79         0.1179622  0.1264876   0.933 0.351118    
## party_fe80         0.1489989  0.1860110   0.801 0.423196    
## party_fe81         0.1040390  0.1457320   0.714 0.475353    
## party_fe82        -0.0320939  0.1521202  -0.211 0.832922    
## party_fe83        -0.0711763  0.1225424  -0.581 0.561408    
## party_fe84         0.0612684  0.1601344   0.383 0.702045    
## party_fe85         0.1741084  0.1121089   1.553 0.120545    
## party_fe86         0.0586960  0.3377462   0.174 0.862047    
## party_fe87         0.6013624  0.1201952   5.003 6.04e-07 ***
## party_fe88         0.2349161  0.1241873   1.892 0.058658 .  
## party_fe89         0.6089537  0.1876087   3.246 0.001187 ** 
## party_fe90         0.0648014  0.1601965   0.405 0.685872    
## party_fe91         0.2917690  0.1280369   2.279 0.022765 *  
## party_fe92         0.5056059  0.1290121   3.919 9.13e-05 ***
## party_fe93         0.3744959  0.1284834   2.915 0.003592 ** 
## party_fe94         0.1489989  0.1860110   0.801 0.423196    
## party_fe95         0.2655609  0.2481983   1.070 0.284745    
## party_fe96         0.3090735  0.1177641   2.625 0.008731 ** 
## party_fe97         0.5575190  0.1874440   2.974 0.002965 ** 
## party_fe98         0.4456454  0.1871333   2.381 0.017321 *  
## party_fe99         0.3162587  0.3393320   0.932 0.351426    
## party_fe100        0.6769937  0.1614997   4.192 2.86e-05 ***
## party_fe101       -0.1973365  0.1876504  -1.052 0.293078    
## party_fe102        0.6596075  0.1305153   5.054 4.65e-07 ***
## party_fe103        0.7333362  0.1619707   4.528 6.25e-06 ***
## party_fe104        0.4456454  0.1871333   2.381 0.017321 *  
## party_fe105        0.4912946  0.1122934   4.375 1.26e-05 ***
## party_fe106        0.3770731  0.1191215   3.165 0.001567 ** 
## party_fe107        0.2644444  0.1407456   1.879 0.060379 .  
## party_fe108       -0.0609102  0.1126106  -0.541 0.588630    
## party_fe109       -0.0307946  0.1133330  -0.272 0.785862    
## party_fe110        0.0837863  0.2140202   0.391 0.695470    
## party_fe111        0.2129386  0.2522645   0.844 0.398691    
## party_fe112       -0.0024576  0.1425289  -0.017 0.986245    
## party_fe113        0.1923101  0.1136155   1.693 0.090651 .  
## party_fe114        0.1522467  0.1128313   1.349 0.177355    
## party_fe115        0.0239252  0.2484832   0.096 0.923302    
## party_fe116        0.1346969  0.1173398   1.148 0.251113    
## party_fe117       -0.0141565  0.1375185  -0.103 0.918017    
## party_fe118       -0.0696430  0.1138386  -0.612 0.540747    
## party_fe119       -0.0150326  0.2109589  -0.071 0.943198    
## party_fe120        0.2082434  0.1140381   1.826 0.067958 .  
## party_fe121        0.3836208  0.1647202   2.329 0.019944 *  
## party_fe122        0.2258816  0.1263657   1.788 0.073976 .  
## party_fe123        0.3330928  0.1730871   1.924 0.054417 .  
## party_fe124       -0.0439674  0.1302377  -0.338 0.735699    
## party_fe125        0.0040744  0.1092752   0.037 0.970260    
## party_fe126       -0.0522597  0.1175612  -0.445 0.656697    
## party_fe127       -0.2280643  0.3392230  -0.672 0.501447    
## party_fe128       -0.0413176  0.1104347  -0.374 0.708335    
## party_fe129        0.3068206  0.1736706   1.767 0.077405 .  
## party_fe130        0.1760964  0.1105838   1.592 0.111417    
## party_fe131        0.4604889  0.2118717   2.173 0.029843 *  
## party_fe132        0.2095690  0.1098379   1.908 0.056509 .  
## party_fe133       -0.0121104  0.1112003  -0.109 0.913285    
## party_fe134       -0.1382595  0.1272599  -1.086 0.277393    
## party_fe135       -0.0903423  0.2085212  -0.433 0.664869    
## party_fe136       -0.0245108  0.3386587  -0.072 0.942309    
## party_fe137       -0.0087674  0.1092159  -0.080 0.936024    
## party_fe138        0.2001889  0.1088223   1.840 0.065948 .  
## party_fe139        0.3540968  0.1101672   3.214 0.001325 ** 
## party_fe140        0.1047290  0.1191580   0.879 0.379536    
## party_fe141        0.0115533  0.1681487   0.069 0.945227    
## party_fe142       -0.0264249  0.1207934  -0.219 0.826854    
## party_fe143        0.2362539  0.1206421   1.958 0.050307 .  
## party_fe144        0.8884038  0.2118229   4.194 2.84e-05 ***
## party_fe145        0.2185653  0.1208215   1.809 0.070574 .  
## party_fe146        0.1563571  0.1836921   0.851 0.394746    
## party_fe147        0.1384838  0.1510757   0.917 0.359415    
## party_fe148        0.0099580  0.1040200   0.096 0.923742    
## party_fe149        0.1267240  0.1441402   0.879 0.379394    
## party_fe150        0.1273971  0.1028672   1.238 0.215663    
## party_fe151        0.4362495  0.1057254   4.126 3.81e-05 ***
## party_fe152        0.2221270  0.1284266   1.730 0.083827 .  
## party_fe153        0.0576877  0.1111720   0.519 0.603874    
## party_fe154       -0.1139799  0.1333365  -0.855 0.392729    
## party_fe155        0.0961074  0.1385954   0.693 0.488100    
## party_fe156       -0.0010090  0.1052485  -0.010 0.992352    
## party_fe157        0.2926462  0.1109473   2.638 0.008399 ** 
## party_fe158        0.2609994  0.1047971   2.491 0.012821 *  
## party_fe159        0.1177961  0.1039205   1.134 0.257105    
## party_fe160        0.1196124  0.3367241   0.355 0.722452    
## party_fe161        0.0917446  0.3367074   0.272 0.785279    
## party_fe162        0.1882996  0.3367915   0.559 0.576145    
## party_fe163        0.2128613  0.3368246   0.632 0.527469    
## party_fe164        0.0190482  0.2093684   0.091 0.927516    
## party_fe165       -0.2044486  0.1874409  -1.091 0.275496    
## party_fe166        0.4130296  0.1883894   2.192 0.028442 *  
## party_fe167        0.4085857  0.2101734   1.944 0.052004 .  
## party_fe168        0.3956226  0.2101159   1.883 0.059835 .  
## party_fe169        0.1909175  0.1875286   1.018 0.308744    
## party_fe170        0.1334190  0.1845740   0.723 0.469842    
## party_fe171       -0.0167363  0.1583748  -0.106 0.915849    
## party_fe172        0.1414664  0.1585490   0.892 0.372342    
## party_fe173        0.3965753  0.1612884   2.459 0.014009 *  
## party_fe174        0.3040994  0.1845988   1.647 0.099613 .  
## party_fe175        0.3794070  0.3372663   1.125 0.260721    
## party_fe176        0.5063018  0.3376777   1.499 0.133907    
## party_fe177        0.1935923  0.2093370   0.925 0.355167    
## party_fe178        0.1903953  0.1602002   1.188 0.234757    
## party_fe179       -0.0433782  0.1597807  -0.271 0.786040    
## party_fe180        0.4074695  0.1607218   2.535 0.011298 *  
## party_fe181        0.4211290  0.1605779   2.623 0.008780 ** 
## party_fe182        0.6020639  0.2474644   2.433 0.015048 *  
## party_fe183        0.2726542  0.1843305   1.479 0.139226    
## party_fe184        0.2160299  0.1582365   1.365 0.172304    
## party_fe185        0.0677643  0.1841476   0.368 0.712913    
## party_fe186        0.1542881  0.1581230   0.976 0.329285    
## party_fe187        0.4568543  0.1692379   2.699 0.006992 ** 
## party_fe188        0.5106489  0.1691348   3.019 0.002561 ** 
## party_fe189        0.2436617  0.3397274   0.717 0.473302    
## party_fe190        0.2795277  0.3397935   0.823 0.410792    
## party_fe191        0.1601611  0.3396124   0.472 0.637254    
## party_fe192        0.3150956  0.3398689   0.927 0.353960    
## party_fe193        0.3177851  0.3398750   0.935 0.349877    
## party_fe194        0.3516699  0.3399566   1.034 0.301025    
## party_fe195        0.2374610  0.3410621   0.696 0.486344    
## party_fe196        0.3733638  0.1652176   2.260 0.023919 *  
## party_fe197        0.3432504  0.1655673   2.073 0.038259 *  
## party_fe198        0.1180383  0.2507822   0.471 0.637910    
## party_fe199        0.2990167  0.2540698   1.177 0.239346    
## party_fe200        0.2725384  0.2537599   1.074 0.282927    
## party_fe201        0.1375268  0.3366317   0.409 0.682914    
## party_fe202        0.1753275  0.3366674   0.521 0.602571    
## party_fe203       -0.0730182  0.1577024  -0.463 0.643396    
## party_fe204        0.4647992  0.3373124   1.378 0.168344    
## party_fe205        0.4911074  0.1602404   3.065 0.002202 ** 
## party_fe206        0.0877207  0.1587002   0.553 0.580489    
## party_fe207        0.4277845  0.1844940   2.319 0.020493 *  
## party_fe208        0.2892781  0.1585271   1.825 0.068154 .  
## party_fe209        0.1395560  0.1594103   0.875 0.381413    
## party_fe210        0.1957671  0.1595523   1.227 0.219948    
## party_fe211        0.3045111  0.1592406   1.912 0.055957 .  
## party_fe212        0.1243480  0.2464238   0.505 0.613878    
## party_fe213        0.2677930  0.1596812   1.677 0.093660 .  
## party_fe214        0.2005451  0.1595028   1.257 0.208759    
## party_fe215        0.4073050  0.1606155   2.536 0.011277 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3244 on 2465 degrees of freedom
## Multiple R-squared:  0.8881, Adjusted R-squared:  0.8767 
## F-statistic: 77.64 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" data-line-number="1"><span class="kw">stargazer</span>(model4)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:15
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.749$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.453$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.029$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.002$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.009 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.044 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.102 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.113$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.082 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.109 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.035 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.133$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.126$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.132$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.160$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.127$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.034 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.065 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.053 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.085 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.084 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.155$^{**}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.118 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.108 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.036 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.038 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.071 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.050 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.033 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.082 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.035 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.008 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.025 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.003 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.013 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.031 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.080 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.052 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.285$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.434$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.125 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.014 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.120 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.174 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.347$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.168 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.134 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.268$^{**}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.047 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.157 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.015 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.091 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.468$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.404$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.405$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.594$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.010 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.204$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.057 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.129 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.344$^{*}$ \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.239$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.220$^{*}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.076 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.160 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.236 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.062 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.026 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.095 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.347$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.156 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.292 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.174 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.173 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.784$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.283$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.127 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.156 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.091 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.060 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.057 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.156 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.381$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.153 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.104 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.529$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.175 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.437$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.076 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.007 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.141 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.060 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.299$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.195 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.036 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.238$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.130 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.053 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.229 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.155 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.049 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.239 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.152 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.346$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.368$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.125 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.640$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.431$^{*}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.118 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.149 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.104 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.032 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.071 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.061 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.174 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.059 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.601$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.235$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.609$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.065 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.506$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.374$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.149 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.266 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.309$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.558$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.446$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.316 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.677$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.197 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.660$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.733$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.446$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.491$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.377$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.264$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.061 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.031 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.084 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.213 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.002 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.192$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.152 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.024 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.135 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.014 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.070 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.015 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.384$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.226$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.333$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.044 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.004 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.052 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.228 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.041 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.176 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.460$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.012 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.138 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.090 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.025 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.009 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.200$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.354$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.105 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.012 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.026 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.236$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.888$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.156 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.138 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.010 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.127 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.127 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.436$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.222$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.058 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.114 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.096 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.001 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.118 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.120 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.092 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.188 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.213 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.019 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.204 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.409$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.396$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.191 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.133 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.017 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.141 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.397$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.304$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.379 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.506 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.194 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.190 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.043 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.421$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.602$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.273 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.216 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.068 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.154 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.457$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.511$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.244 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.280 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.160 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.315 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.318 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.352 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.237 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.373$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.343$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.118 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.299 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.273 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.138 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.175 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.073 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.465 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.491$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.088 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.428$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.289$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.140 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.196 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.305$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.124 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.268$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.201 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.100 \\ 
##   &amp; (0.819) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.642$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1"><span class="co"># Model 5 in Table 1 </span></a>
<a class="sourceLine" id="cb19-2" data-line-number="2"></a>
<a class="sourceLine" id="cb19-3" data-line-number="3">model5 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~  lag_rile + lag_cmedian + lag_econ_glob + interaction + spdiffgroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb19-4" data-line-number="4"></a>
<a class="sourceLine" id="cb19-5" data-line-number="5">model5 &lt;-<span class="st"> </span><span class="kw">lm</span>(model5, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb19-6" data-line-number="6"><span class="kw">summary</span>(model5)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model5, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.94200 -0.09698 -0.00143  0.10670  2.09095 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -1.0049444  0.8200318  -1.225 0.220506    
## lag_rile           0.7517219  0.0129002  58.272  &lt; 2e-16 ***
## lag_cmedian        0.4335459  0.1580883   2.742 0.006143 ** 
## lag_econ_glob      0.0273159  0.0112615   2.426 0.015355 *  
## interaction       -0.0057428  0.0021146  -2.716 0.006659 ** 
## spdiffgroup_ruled  0.0001933  0.0002828   0.683 0.494457    
## year_fe2           0.0409377  0.0674576   0.607 0.543996    
## year_fe3           0.0151260  0.0668698   0.226 0.821065    
## year_fe4           0.0508606  0.0672849   0.756 0.449782    
## year_fe5           0.1082420  0.0673283   1.608 0.108035    
## year_fe6           0.1203344  0.0672889   1.788 0.073846 .  
## year_fe7           0.0885802  0.0675043   1.312 0.189570    
## year_fe8           0.1135039  0.0667212   1.701 0.089038 .  
## year_fe9           0.0404028  0.0675332   0.598 0.549717    
## year_fe10          0.1379837  0.0652844   2.114 0.034651 *  
## year_fe11          0.1319290  0.0652589   2.022 0.043323 *  
## year_fe12          0.1381837  0.0649881   2.126 0.033578 *  
## year_fe13          0.1687403  0.0657000   2.568 0.010277 *  
## year_fe14          0.1352061  0.0671133   2.015 0.044055 *  
## year_fe15         -0.0227600  0.0683647  -0.333 0.739223    
## year_fe16          0.0791969  0.0697784   1.135 0.256495    
## year_fe17          0.0692858  0.0697796   0.993 0.320845    
## year_fe18          0.1077088  0.0718992   1.498 0.134248    
## year_fe19          0.1077862  0.0733232   1.470 0.141685    
## year_fe20          0.1778159  0.0720340   2.469 0.013635 *  
## year_fe21          0.1411347  0.0739657   1.908 0.056493 .  
## year_fe22          0.1326944  0.0776573   1.709 0.087629 .  
## year_fe23          0.0775315  0.0827071   0.937 0.348634    
## year_fe24          0.0818185  0.0833130   0.982 0.326166    
## year_fe25          0.1129608  0.0878428   1.286 0.198584    
## year_fe26          0.0881838  0.0865430   1.019 0.308322    
## year_fe27          0.0620371  0.0830843   0.747 0.455330    
## year_fe28          0.1098829  0.0832451   1.320 0.186960    
## year_fe29          0.0611424  0.0832507   0.734 0.462752    
## year_fe30          0.0346180  0.0800463   0.432 0.665435    
## year_fe31          0.0527826  0.0816367   0.647 0.517980    
## year_fe32          0.0259257  0.0832079   0.312 0.755388    
## year_fe33          0.0490493  0.0829300   0.591 0.554271    
## year_fe34          0.0612135  0.0824526   0.742 0.457911    
## party_fe2         -0.0887183  0.1188361  -0.747 0.455400    
## party_fe3         -0.0045607  0.1190526  -0.038 0.969445    
## party_fe4          0.3044870  0.1201447   2.534 0.011327 *  
## party_fe5          0.2949798  0.1196911   2.465 0.013788 *  
## party_fe6          0.4590656  0.1221733   3.757 0.000176 ***
## party_fe7         -0.1153226  0.1453906  -0.793 0.427743    
## party_fe8         -0.0046870  0.1451887  -0.032 0.974250    
## party_fe9          0.1274254  0.1450032   0.879 0.379608    
## party_fe10         0.1816210  0.1450228   1.252 0.210557    
## party_fe11         0.3515148  0.1455975   2.414 0.015838 *  
## party_fe12         0.1690095  0.2085245   0.811 0.417730    
## party_fe13        -0.1121616  0.1351458  -0.830 0.406659    
## party_fe14        -0.2440692  0.1318277  -1.851 0.064228 .  
## party_fe15        -0.0431687  0.1201453  -0.359 0.719398    
## party_fe16        -0.1519838  0.1016183  -1.496 0.134877    
## party_fe17         0.0632149  0.1015003   0.623 0.533470    
## party_fe18         0.4253370  0.1098706   3.871 0.000111 ***
## party_fe19         0.1057251  0.1018164   1.038 0.299191    
## party_fe20         0.4877302  0.1048119   4.653 3.44e-06 ***
## party_fe21         0.4122502  0.1072926   3.842 0.000125 ***
## party_fe22         0.4300269  0.1041957   4.127 3.80e-05 ***
## party_fe23         0.5895364  0.1323120   4.456 8.74e-06 ***
## party_fe24         0.0007795  0.1185516   0.007 0.994754    
## party_fe25        -0.2155179  0.1186910  -1.816 0.069524 .  
## party_fe26        -0.0001524  0.1186173  -0.001 0.998975    
## party_fe27         0.1339970  0.3398330   0.394 0.693392    
## party_fe28         0.3463977  0.2093397   1.655 0.098109 .  
## party_fe29         0.2614976  0.1206955   2.167 0.030362 *  
## party_fe30         0.2537739  0.1198596   2.117 0.034338 *  
## party_fe31         0.0814682  0.1053656   0.773 0.439481    
## party_fe32         0.1628346  0.1055107   1.543 0.122887    
## party_fe33         0.2416824  0.1602366   1.508 0.131610    
## party_fe34         0.1095490  0.1056899   1.037 0.300064    
## party_fe35         0.0237064  0.1036692   0.229 0.819142    
## party_fe36         0.0980277  0.2474003   0.396 0.691969    
## party_fe37         0.3545189  0.1044406   3.394 0.000699 ***
## party_fe38         0.3686889  0.1191008   3.096 0.001986 ** 
## party_fe39         0.1658683  0.2079278   0.798 0.425109    
## party_fe40         0.3164852  0.1874780   1.688 0.091515 .  
## party_fe41         0.1686956  0.2092506   0.806 0.420211    
## party_fe42         0.1807192  0.1522221   1.187 0.235260    
## party_fe43         0.7818769  0.2114054   3.698 0.000222 ***
## party_fe44         0.3099644  0.1037636   2.987 0.002843 ** 
## party_fe45         0.1649460  0.1033112   1.597 0.110485    
## party_fe46         0.1582873  0.1114808   1.420 0.155775    
## party_fe47         0.0961250  0.1207717   0.796 0.426153    
## party_fe48         0.0868519  0.1298336   0.669 0.503592    
## party_fe49         0.1092742  0.1031381   1.059 0.289479    
## party_fe50         0.1830040  0.1032618   1.772 0.076479 .  
## party_fe51         0.3998935  0.1052041   3.801 0.000148 ***
## party_fe52        -0.1463516  0.2084124  -0.702 0.482607    
## party_fe53         0.2176497  0.1042507   2.088 0.036923 *  
## party_fe54         0.1288044  0.1859668   0.693 0.488613    
## party_fe55         0.5316604  0.1475120   3.604 0.000319 ***
## party_fe56         0.1808713  0.2088622   0.866 0.386583    
## party_fe57         0.4348918  0.1894913   2.295 0.021814 *  
## party_fe58         0.1002595  0.1892346   0.530 0.596287    
## party_fe59         0.0211526  0.1454958   0.145 0.884420    
## party_fe60         0.1431797  0.1409492   1.016 0.309813    
## party_fe61         0.0684792  0.1604075   0.427 0.669484    
## party_fe62        -0.2657631  0.1268931  -2.094 0.036327 *  
## party_fe63        -0.1855034  0.3391396  -0.547 0.584440    
## party_fe64         0.0193097  0.1072941   0.180 0.857191    
## party_fe65         0.2718233  0.1080387   2.516 0.011933 *  
## party_fe66         0.1683840  0.1075168   1.566 0.117449    
## party_fe67        -0.0635886  0.1227267  -0.518 0.604413    
## party_fe68         0.2112246  0.1915122   1.103 0.270165    
## party_fe69        -0.1671147  0.1116644  -1.497 0.134631    
## party_fe70        -0.0096044  0.1113068  -0.086 0.931245    
## party_fe71         0.2469995  0.3444547   0.717 0.473396    
## party_fe72         0.1609714  0.3443564   0.467 0.640215    
## party_fe73         0.3446483  0.1196939   2.879 0.004018 ** 
## party_fe74         0.3725403  0.1302192   2.861 0.004260 ** 
## party_fe75         0.2694349  0.1129668   2.385 0.017151 *  
## party_fe76         0.1203188  0.1497993   0.803 0.421936    
## party_fe77         0.6261343  0.1205453   5.194 2.22e-07 ***
## party_fe78         0.4216799  0.2508460   1.681 0.092884 .  
## party_fe79         0.1174690  0.1278746   0.919 0.358381    
## party_fe80         0.1448797  0.1880867   0.770 0.441207    
## party_fe81         0.1104127  0.1461036   0.756 0.449892    
## party_fe82        -0.0235263  0.1527740  -0.154 0.877627    
## party_fe83        -0.0878481  0.1226794  -0.716 0.474011    
## party_fe84         0.0481388  0.1603200   0.300 0.763999    
## party_fe85         0.1605225  0.1123056   1.429 0.153034    
## party_fe86         0.0583836  0.3388655   0.172 0.863223    
## party_fe87         0.5990586  0.1209410   4.953 7.79e-07 ***
## party_fe88         0.2476135  0.1244052   1.990 0.046659 *  
## party_fe89         0.5964508  0.1890729   3.155 0.001627 ** 
## party_fe90         0.0618440  0.1623354   0.381 0.703263    
## party_fe91         0.2960949  0.1285612   2.303 0.021354 *  
## party_fe92         0.5082952  0.1295127   3.925 8.92e-05 ***
## party_fe93         0.3779757  0.1289958   2.930 0.003419 ** 
## party_fe94         0.1448797  0.1880867   0.770 0.441207    
## party_fe95         0.2578324  0.2502761   1.030 0.303021    
## party_fe96         0.3342969  0.1175872   2.843 0.004506 ** 
## party_fe97         0.5874455  0.1879446   3.126 0.001795 ** 
## party_fe98         0.4383099  0.1890774   2.318 0.020523 *  
## party_fe99         0.3132925  0.3401687   0.921 0.357145    
## party_fe100        0.6682582  0.1629452   4.101 4.24e-05 ***
## party_fe101       -0.2047437  0.1895046  -1.080 0.280063    
## party_fe102        0.6789570  0.1307138   5.194 2.22e-07 ***
## party_fe103        0.7263536  0.1639257   4.431 9.79e-06 ***
## party_fe104        0.4383099  0.1890774   2.318 0.020523 *  
## party_fe105        0.4840111  0.1125128   4.302 1.76e-05 ***
## party_fe106        0.3641391  0.1192190   3.054 0.002279 ** 
## party_fe107        0.2606973  0.1432393   1.820 0.068878 .  
## party_fe108       -0.0758729  0.1127448  -0.673 0.501035    
## party_fe109        0.0100584  0.1125003   0.089 0.928765    
## party_fe110        0.0889886  0.2146115   0.415 0.678434    
## party_fe111        0.2178071  0.2528877   0.861 0.389168    
## party_fe112        0.0307364  0.1421994   0.216 0.828889    
## party_fe113        0.2248543  0.1131134   1.988 0.046937 *  
## party_fe114        0.1683065  0.1128452   1.491 0.135963    
## party_fe115        0.0249567  0.2499890   0.100 0.920486    
## party_fe116        0.1232158  0.1175593   1.048 0.294688    
## party_fe117       -0.0260688  0.1376495  -0.189 0.849806    
## party_fe118       -0.0334827  0.1132022  -0.296 0.767424    
## party_fe119       -0.0281189  0.2112868  -0.133 0.894138    
## party_fe120        0.2239684  0.1145079   1.956 0.050587 .  
## party_fe121        0.3769575  0.1659963   2.271 0.023240 *  
## party_fe122        0.2298594  0.1281918   1.793 0.073081 .  
## party_fe123        0.3461149  0.1737489   1.992 0.046477 *  
## party_fe124       -0.0445715  0.1331739  -0.335 0.737890    
## party_fe125       -0.0086113  0.1095103  -0.079 0.937329    
## party_fe126       -0.0516858  0.1199092  -0.431 0.666477    
## party_fe127       -0.2086586  0.3398374  -0.614 0.539275    
## party_fe128        0.0046880  0.1094000   0.043 0.965823    
## party_fe129        0.3181802  0.1743197   1.825 0.068081 .  
## party_fe130        0.2101250  0.1099898   1.910 0.056197 .  
## party_fe131        0.4694916  0.2124838   2.210 0.027229 *  
## party_fe132        0.2104856  0.1119234   1.881 0.060141 .  
## party_fe133       -0.0208223  0.1113868  -0.187 0.851726    
## party_fe134       -0.1459518  0.1275384  -1.144 0.252579    
## party_fe135       -0.0896008  0.2100067  -0.427 0.669666    
## party_fe136       -0.0293447  0.3404685  -0.086 0.931323    
## party_fe137        0.0320151  0.1084513   0.295 0.767864    
## party_fe138        0.2180735  0.1089971   2.001 0.045531 *  
## party_fe139        0.3732556  0.1100822   3.391 0.000708 ***
## party_fe140        0.0978941  0.1193921   0.820 0.412331    
## party_fe141        0.0150799  0.1706981   0.088 0.929611    
## party_fe142        0.0308850  0.1192379   0.259 0.795642    
## party_fe143        0.2328977  0.1232379   1.890 0.058899 .  
## party_fe144        0.8833075  0.2127173   4.152 3.40e-05 ***
## party_fe145        0.2492181  0.1204247   2.069 0.038604 *  
## party_fe146        0.1572071  0.1857827   0.846 0.397530    
## party_fe147        0.1309722  0.1535369   0.853 0.393723    
## party_fe148        0.0555755  0.1028487   0.540 0.588997    
## party_fe149        0.1459836  0.1447901   1.008 0.313437    
## party_fe150        0.1351245  0.1045461   1.292 0.196310    
## party_fe151        0.4603229  0.1054552   4.365 1.32e-05 ***
## party_fe152        0.2184926  0.1305236   1.674 0.094263 .  
## party_fe153        0.0646476  0.1122478   0.576 0.564710    
## party_fe154       -0.0911329  0.1333999  -0.683 0.494573    
## party_fe155        0.1030143  0.1404907   0.733 0.463478    
## party_fe156        0.0533089  0.1034900   0.515 0.606521    
## party_fe157        0.3121083  0.1108881   2.815 0.004922 ** 
## party_fe158        0.2870360  0.1044300   2.749 0.006029 ** 
## party_fe159        0.1206306  0.1041269   1.158 0.246774    
## party_fe160        0.1256533  0.3380791   0.372 0.710172    
## party_fe161        0.0980876  0.3380670   0.290 0.771732    
## party_fe162        0.1935957  0.3381350   0.573 0.567009    
## party_fe163        0.2178911  0.3381639   0.644 0.519418    
## party_fe164        0.0170780  0.2107916   0.081 0.935434    
## party_fe165       -0.2071421  0.1890226  -1.096 0.273248    
## party_fe166        0.4067095  0.1898498   2.142 0.032270 *  
## party_fe167        0.4023920  0.2114761   1.903 0.057186 .  
## party_fe168        0.3895695  0.2114229   1.843 0.065506 .  
## party_fe169        0.1873301  0.1890817   0.991 0.321912    
## party_fe170        0.1335202  0.1865878   0.716 0.474313    
## party_fe171       -0.0222366  0.1590280  -0.140 0.888807    
## party_fe172        0.1690622  0.1596609   1.059 0.289757    
## party_fe173        0.3888690  0.1618842   2.402 0.016373 *  
## party_fe174        0.3136255  0.1851313   1.694 0.090378 .  
## party_fe175        0.3821758  0.3385744   1.129 0.259101    
## party_fe176        0.5076947  0.3389628   1.498 0.134316    
## party_fe177        0.1949726  0.2113324   0.923 0.356313    
## party_fe178        0.2199308  0.1611852   1.364 0.172547    
## party_fe179       -0.0392624  0.1619491  -0.242 0.808462    
## party_fe180        0.4229946  0.1616333   2.617 0.008925 ** 
## party_fe181        0.4232623  0.1626700   2.602 0.009324 ** 
## party_fe182        0.6046733  0.2488657   2.430 0.015182 *  
## party_fe183        0.2749820  0.1863753   1.475 0.140227    
## party_fe184        0.2415699  0.1592662   1.517 0.129453    
## party_fe185        0.0710909  0.1862254   0.382 0.702682    
## party_fe186        0.1571216  0.1603306   0.980 0.327190    
## party_fe187        0.4585079  0.1711416   2.679 0.007431 ** 
## party_fe188        0.5125104  0.1710461   2.996 0.002760 ** 
## party_fe189        0.2449115  0.3410397   0.718 0.472744    
## party_fe190        0.2803887  0.3410991   0.822 0.411148    
## party_fe191        0.1623163  0.3409399   0.476 0.634056    
## party_fe192        0.3155709  0.3411679   0.925 0.355071    
## party_fe193        0.3182312  0.3411734   0.933 0.351038    
## party_fe194        0.3517486  0.3412487   1.031 0.302750    
## party_fe195        0.2342522  0.3422804   0.684 0.493795    
## party_fe196        0.3784931  0.1661408   2.278 0.022803 *  
## party_fe197        0.3311466  0.1660930   1.994 0.046290 *  
## party_fe198        0.1138320  0.2521766   0.451 0.651742    
## party_fe199        0.3314802  0.2541131   1.304 0.192199    
## party_fe200        0.2634927  0.2558153   1.030 0.303106    
## party_fe201        0.1424174  0.3380087   0.421 0.673542    
## party_fe202        0.1798082  0.3380378   0.532 0.594831    
## party_fe203       -0.0457877  0.1588972  -0.288 0.773249    
## party_fe204        0.4661414  0.3386304   1.377 0.168777    
## party_fe205        0.4935328  0.1611178   3.063 0.002214 ** 
## party_fe206        0.0922544  0.1596229   0.578 0.563349    
## party_fe207        0.4126879  0.1847215   2.234 0.025565 *  
## party_fe208        0.2887976  0.1607140   1.797 0.072463 .  
## party_fe209        0.1377461  0.1615924   0.852 0.394059    
## party_fe210        0.1934507  0.1617128   1.196 0.231710    
## party_fe211        0.3198295  0.1602592   1.996 0.046076 *  
## party_fe212        0.1193150  0.2485916   0.480 0.631296    
## party_fe213        0.2651001  0.1618253   1.638 0.101510    
## party_fe214        0.1983910  0.1616703   1.227 0.219890    
## party_fe215        0.4027409  0.1626739   2.476 0.013362 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.42 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" data-line-number="1"><span class="kw">stargazer</span>(model5)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:16
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.752$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.434$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.027$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spdiffgroup\_ruled &amp; 0.0002 \\ 
##   &amp; (0.0003) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.015 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.051 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.108 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.089 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.114$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.040 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.132$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.169$^{**}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.135$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.023 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.079 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.069 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.108 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.108 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.178$^{**}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.141$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.133$^{*}$ \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.078 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.082 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.113 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.088 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.062 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.110 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.061 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.035 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.053 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.026 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.049 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.061 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.089 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.005 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.304$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.295$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.459$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.115 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.005 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.127 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.182 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.352$^{**}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.169 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.112 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.244$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.043 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.152 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.063 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.425$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.106 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.488$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.412$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.001 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.216$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.0002 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.134 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.346$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.081 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.163 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.242 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.110 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.024 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.098 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.166 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.316$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.169 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.181 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.782$^{***}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.165 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.158 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.096 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.087 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.109 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.146 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.218$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.129 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.532$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.181 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.435$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.100 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.021 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.143 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.068 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.266$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.186 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.019 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.272$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.168 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.064 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.211 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.167 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.010 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.247 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.161 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.345$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.373$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.269$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.120 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.626$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.422$^{*}$ \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.117 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.145 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.110 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.024 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.088 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.048 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.161 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.058 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.599$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.596$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.062 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.296$^{**}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.508$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.378$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.145 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.258 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.334$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.587$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.438$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.313 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.668$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.205 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.679$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.726$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.438$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.484$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.364$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.261$^{*}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.076 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.010 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.089 \\ 
##   &amp; (0.215) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.218 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.031 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.225$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.168 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.025 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.123 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.026 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.033 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.028 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.224$^{*}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.377$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.230$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.346$^{**}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.045 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.009 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.052 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.209 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.318$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.469$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.021 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.146 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.090 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.029 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.032 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.218$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.373$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.098 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.015 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.031 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.233$^{*}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.883$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.249$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.157 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.131 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.056 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.146 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.135 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.218$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.065 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.091 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.103 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.053 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.312$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.287$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.121 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.126 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.098 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.194 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.218 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.017 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.207 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.402$^{*}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.390$^{*}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.187 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.134 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.022 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.169 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.389$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.314$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.382 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.508 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.195 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.220 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.039 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.605$^{**}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.275 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.242 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.071 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.157 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.459$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.513$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.245 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.280 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.162 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.316 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.318 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.352 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.234 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.378$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.331$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.114 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.331 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.263 \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.142 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.180 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.046 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.466 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.494$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.092 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.289$^{*}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.138 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.193 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.320$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.119 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.265 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.198 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.403$^{**}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.005 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.419$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" data-line-number="1"><span class="co"># Model 6 in Table 1 </span></a>
<a class="sourceLine" id="cb23-2" data-line-number="2"></a>
<a class="sourceLine" id="cb23-3" data-line-number="3">model6 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + spdiffgroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb23-4" data-line-number="4"></a>
<a class="sourceLine" id="cb23-5" data-line-number="5">model6 &lt;-<span class="st"> </span><span class="kw">lm</span>(model6, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb23-6" data-line-number="6"><span class="kw">summary</span>(model6)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model6, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93235 -0.09902 -0.00104  0.10643  2.08040 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -1.0884276  0.8197724  -1.328 0.184394    
## lag_rile           0.7492078  0.0129235  57.973  &lt; 2e-16 ***
## lag_cmedian        0.4497138  0.1580395   2.846 0.004470 ** 
## lag_econ_glob      0.0287533  0.0112631   2.553 0.010744 *  
## interaction       -0.0059275  0.0021135  -2.805 0.005078 ** 
## spsamegroup_ruled  0.0017283  0.0006778   2.550 0.010840 *  
## spdiffgroup_ruled  0.0001216  0.0002839   0.428 0.668397    
## year_fe2           0.0408207  0.0673825   0.606 0.544699    
## year_fe3           0.0079178  0.0668551   0.118 0.905735    
## year_fe4           0.0417807  0.0673043   0.621 0.534806    
## year_fe5           0.1011495  0.0673108   1.503 0.133039    
## year_fe6           0.1125661  0.0672830   1.673 0.094449 .  
## year_fe7           0.0813928  0.0674880   1.206 0.227920    
## year_fe8           0.1072472  0.0666921   1.608 0.107942    
## year_fe9           0.0326975  0.0675256   0.484 0.628270    
## year_fe10          0.1301120  0.0652847   1.993 0.046372 *  
## year_fe11          0.1222034  0.0652977   1.871 0.061397 .  
## year_fe12          0.1285106  0.0650264   1.976 0.048234 *  
## year_fe13          0.1573203  0.0657794   2.392 0.016848 *  
## year_fe14          0.1248992  0.0671603   1.860 0.063044 .  
## year_fe15         -0.0383926  0.0685633  -0.560 0.575558    
## year_fe16          0.0600673  0.0701033   0.857 0.391617    
## year_fe17          0.0487805  0.0701643   0.695 0.486975    
## year_fe18          0.0795115  0.0726656   1.094 0.273969    
## year_fe19          0.0793631  0.0740850   1.071 0.284165    
## year_fe20          0.1504877  0.0727476   2.069 0.038685 *  
## year_fe21          0.1134370  0.0746776   1.519 0.128885    
## year_fe22          0.1016548  0.0785202   1.295 0.195568    
## year_fe23          0.0255887  0.0850897   0.301 0.763649    
## year_fe24          0.0281032  0.0858453   0.327 0.743416    
## year_fe25          0.0610701  0.0900741   0.678 0.497837    
## year_fe26          0.0392490  0.0885514   0.443 0.657635    
## year_fe27          0.0246543  0.0842768   0.293 0.769899    
## year_fe28          0.0730619  0.0843971   0.866 0.386743    
## year_fe29          0.0264909  0.0842611   0.314 0.753251    
## year_fe30          0.0001541  0.0810916   0.002 0.998484    
## year_fe31          0.0185252  0.0826452   0.224 0.822656    
## year_fe32         -0.0096531  0.0842784  -0.115 0.908820    
## year_fe33          0.0026121  0.0848161   0.031 0.975434    
## year_fe34          0.0199179  0.0839381   0.237 0.812450    
## party_fe2         -0.0804583  0.1187479  -0.678 0.498117    
## party_fe3         -0.0479587  0.1201318  -0.399 0.689768    
## party_fe4          0.2867241  0.1202129   2.385 0.017148 *  
## party_fe5          0.2696235  0.1199706   2.247 0.024702 *  
## party_fe6          0.4363403  0.1223622   3.566 0.000369 ***
## party_fe7         -0.1169378  0.1452300  -0.805 0.420788    
## party_fe8         -0.0056689  0.1450275  -0.039 0.968823    
## party_fe9          0.1280765  0.1448419   0.884 0.376647    
## party_fe10         0.1825848  0.1448618   1.260 0.207642    
## party_fe11         0.3545440  0.1454402   2.438 0.014850 *  
## party_fe12         0.1800903  0.2083376   0.864 0.387444    
## party_fe13        -0.1300737  0.1351780  -0.962 0.336023    
## party_fe14        -0.2631571  0.1318935  -1.995 0.046128 *  
## party_fe15        -0.0360137  0.1200443  -0.300 0.764200    
## party_fe16        -0.1576552  0.1015294  -1.553 0.120599    
## party_fe17         0.0176213  0.1029520   0.171 0.864112    
## party_fe18         0.4185514  0.1097805   3.813 0.000141 ***
## party_fe19         0.0940215  0.1018065   0.924 0.355821    
## party_fe20         0.4685752  0.1049643   4.464 8.40e-06 ***
## party_fe21         0.4110478  0.1071741   3.835 0.000129 ***
## party_fe22         0.4055627  0.1045210   3.880 0.000107 ***
## party_fe23         0.6054609  0.1323120   4.576 4.97e-06 ***
## party_fe24         0.0078790  0.1184523   0.067 0.946972    
## party_fe25        -0.2046705  0.1186351  -1.725 0.084615 .  
## party_fe26        -0.0536566  0.1203290  -0.446 0.655698    
## party_fe27         0.1370603  0.3394566   0.404 0.686421    
## party_fe28         0.3514479  0.2091159   1.681 0.092960 .  
## party_fe29         0.2454440  0.1207253   2.033 0.042152 *  
## party_fe30         0.2215710  0.1203904   1.840 0.065824 .  
## party_fe31         0.0766251  0.1052654   0.728 0.466730    
## party_fe32         0.1590443  0.1054036   1.509 0.131451    
## party_fe33         0.2464939  0.1600692   1.540 0.123708    
## party_fe34         0.0638261  0.1070843   0.596 0.551206    
## party_fe35        -0.0232468  0.1051783  -0.221 0.825093    
## party_fe36         0.1062231  0.2471456   0.430 0.667379    
## party_fe37         0.3242896  0.1049957   3.089 0.002033 ** 
## party_fe38         0.3522148  0.1191434   2.956 0.003144 ** 
## party_fe39         0.1638452  0.2076977   0.789 0.430267    
## party_fe40         0.2953218  0.1874530   1.575 0.115282    
## party_fe41         0.1873103  0.2091449   0.896 0.370554    
## party_fe42         0.1844201  0.1520595   1.213 0.225317    
## party_fe43         0.7960277  0.2112428   3.768 0.000168 ***
## party_fe44         0.2839386  0.1041494   2.726 0.006451 ** 
## party_fe45         0.1303499  0.1040843   1.252 0.210561    
## party_fe46         0.1560553  0.1113601   1.401 0.161233    
## party_fe47         0.1021748  0.1206605   0.847 0.397191    
## party_fe48         0.0645198  0.1299844   0.496 0.619681    
## party_fe49         0.0591332  0.1048833   0.564 0.572942    
## party_fe50         0.1571842  0.1036427   1.517 0.129497    
## party_fe51         0.3833537  0.1052869   3.641 0.000277 ***
## party_fe52        -0.1421982  0.2081866  -0.683 0.494651    
## party_fe53         0.1843302  0.1049513   1.756 0.079155 .  
## party_fe54         0.1071569  0.1859536   0.576 0.564494    
## party_fe55         0.5400915  0.1473847   3.665 0.000253 ***
## party_fe56         0.1864886  0.2086412   0.894 0.371503    
## party_fe57         0.4476714  0.1893466   2.364 0.018142 *  
## party_fe58         0.0826662  0.1891497   0.437 0.662120    
## party_fe59        -0.0011324  0.1455963  -0.008 0.993795    
## party_fe60         0.1433393  0.1407922   1.018 0.308734    
## party_fe61         0.0712855  0.1602325   0.445 0.656440    
## party_fe62        -0.2938213  0.1272285  -2.309 0.021004 *  
## party_fe63        -0.1808768  0.3387666  -0.534 0.593440    
## party_fe64        -0.0332718  0.1091406  -0.305 0.760504    
## party_fe65         0.2388205  0.1086918   2.197 0.028097 *  
## party_fe66         0.1314558  0.1083692   1.213 0.225232    
## party_fe67        -0.0518494  0.1226764  -0.423 0.672586    
## party_fe68         0.2404502  0.1916420   1.255 0.209712    
## party_fe69        -0.1573861  0.1116053  -1.410 0.158606    
## party_fe70        -0.0474140  0.1121673  -0.423 0.672546    
## party_fe71         0.2405556  0.3440803   0.699 0.484539    
## party_fe72         0.1536564  0.3439848   0.447 0.655134    
## party_fe73         0.3516366  0.1195920   2.940 0.003309 ** 
## party_fe74         0.3718732  0.1300744   2.859 0.004287 ** 
## party_fe75         0.2584195  0.1129236   2.288 0.022196 *  
## party_fe76         0.1361441  0.1497611   0.909 0.363399    
## party_fe77         0.6458641  0.1206594   5.353 9.46e-08 ***
## party_fe78         0.4442226  0.2507225   1.772 0.076556 .  
## party_fe79         0.1256421  0.1277724   0.983 0.325543    
## party_fe80         0.1605255  0.1879774   0.854 0.393209    
## party_fe81         0.1072286  0.1459462   0.735 0.462584    
## party_fe82        -0.0269966  0.1526099  -0.177 0.859602    
## party_fe83        -0.0734095  0.1226735  -0.598 0.549619    
## party_fe84         0.0636436  0.1602569   0.397 0.691303    
## party_fe85         0.1717170  0.1122664   1.530 0.126257    
## party_fe86         0.0680648  0.3385093   0.201 0.840659    
## party_fe87         0.6066320  0.1208428   5.020 5.54e-07 ***
## party_fe88         0.2372996  0.1243324   1.909 0.056431 .  
## party_fe89         0.6188874  0.1890671   3.273 0.001077 ** 
## party_fe90         0.0757437  0.1622462   0.467 0.640653    
## party_fe91         0.2958849  0.1284180   2.304 0.021301 *  
## party_fe92         0.5095971  0.1293694   3.939 8.41e-05 ***
## party_fe93         0.3785474  0.1288523   2.938 0.003336 ** 
## party_fe94         0.1605255  0.1879774   0.854 0.393209    
## party_fe95         0.2787160  0.2501314   1.114 0.265269    
## party_fe96         0.3104553  0.1178278   2.635 0.008471 ** 
## party_fe97         0.5633738  0.1879725   2.997 0.002753 ** 
## party_fe98         0.4569270  0.1890078   2.418 0.015700 *  
## party_fe99         0.3235400  0.3398135   0.952 0.341134    
## party_fe100        0.6860826  0.1629137   4.211 2.63e-05 ***
## party_fe101       -0.1863321  0.1894312  -0.984 0.325389    
## party_fe102        0.6626139  0.1307255   5.069 4.30e-07 ***
## party_fe103        0.7439719  0.1638888   4.539 5.91e-06 ***
## party_fe104        0.4569270  0.1890078   2.418 0.015700 *  
## party_fe105        0.4936938  0.1124516   4.390 1.18e-05 ***
## party_fe106        0.3790376  0.1192294   3.179 0.001496 ** 
## party_fe107        0.2757020  0.1432007   1.925 0.054309 .  
## party_fe108       -0.0629785  0.1127327  -0.559 0.576449    
## party_fe109       -0.0291090  0.1134201  -0.257 0.797472    
## party_fe110        0.0887770  0.2143724   0.414 0.678819    
## party_fe111        0.2182093  0.2526061   0.864 0.387764    
## party_fe112       -0.0010891  0.1425883  -0.008 0.993906    
## party_fe113        0.1933574  0.1136606   1.701 0.089035 .  
## party_fe114        0.1532464  0.1128742   1.358 0.174691    
## party_fe115        0.0344615  0.2497383   0.138 0.890259    
## party_fe116        0.1323839  0.1174834   1.127 0.259924    
## party_fe117       -0.0124324  0.1376002  -0.090 0.928015    
## party_fe118       -0.0683274  0.1138989  -0.600 0.548631    
## party_fe119       -0.0115371  0.2111516  -0.055 0.956431    
## party_fe120        0.2124064  0.1144702   1.856 0.063636 .  
## party_fe121        0.3920450  0.1659169   2.363 0.018210 *  
## party_fe122        0.2347300  0.1280632   1.833 0.066935 .  
## party_fe123        0.3385327  0.1735808   1.950 0.051255 .  
## party_fe124       -0.0322214  0.1331137  -0.242 0.808755    
## party_fe125        0.0014874  0.1094600   0.014 0.989159    
## party_fe126       -0.0423565  0.1198315  -0.353 0.723769    
## party_fe127       -0.2227729  0.3395039  -0.656 0.511775    
## party_fe128       -0.0388442  0.1106038  -0.351 0.725467    
## party_fe129        0.3121338  0.1741416   1.792 0.073189 .  
## party_fe130        0.1771124  0.1106275   1.601 0.109510    
## party_fe131        0.4656753  0.2122523   2.194 0.028331 *  
## party_fe132        0.2185615  0.1118435   1.954 0.050794 .  
## party_fe133       -0.0138867  0.1112959  -0.125 0.900713    
## party_fe134       -0.1353309  0.1274644  -1.062 0.288469    
## party_fe135       -0.0805576  0.2098027  -0.384 0.701035    
## party_fe136       -0.0110699  0.3401647  -0.033 0.974042    
## party_fe137       -0.0064030  0.1093733  -0.059 0.953321    
## party_fe138        0.2029884  0.1090363   1.862 0.062770 .  
## party_fe139        0.3547977  0.1101976   3.220 0.001300 ** 
## party_fe140        0.1026779  0.1192739   0.861 0.389400    
## party_fe141        0.0236778  0.1705413   0.139 0.889589    
## party_fe142       -0.0235315  0.1210021  -0.194 0.845822    
## party_fe143        0.2469627  0.1232242   2.004 0.045161 *  
## party_fe144        0.8956687  0.2125356   4.214 2.60e-05 ***
## party_fe145        0.2194060  0.1208574   1.815 0.069582 .  
## party_fe146        0.1677024  0.1856214   0.903 0.366368    
## party_fe147        0.1501882  0.1535509   0.978 0.328121    
## party_fe148        0.0119978  0.1041461   0.115 0.908295    
## party_fe149        0.1322011  0.1447298   0.913 0.361104    
## party_fe150        0.1350653  0.1044297   1.293 0.196007    
## party_fe151        0.4366328  0.1057467   4.129 3.76e-05 ***
## party_fe152        0.2319666  0.1304852   1.778 0.075573 .  
## party_fe153        0.0638705  0.1121231   0.570 0.568970    
## party_fe154       -0.1114495  0.1334893  -0.835 0.403858    
## party_fe155        0.1054892  0.1403376   0.752 0.452314    
## party_fe156        0.0011114  0.1053822   0.011 0.991586    
## party_fe157        0.2937835  0.1109975   2.647 0.008178 ** 
## party_fe158        0.2609418  0.1048145   2.490 0.012856 *  
## party_fe159        0.1159492  0.1040271   1.115 0.265128    
## party_fe160        0.1303278  0.3377075   0.386 0.699590    
## party_fe161        0.1024830  0.3376948   0.303 0.761551    
## party_fe162        0.1989583  0.3377649   0.589 0.555886    
## party_fe163        0.2234997  0.3377944   0.662 0.508261    
## party_fe164        0.0286774  0.2106059   0.136 0.891701    
## party_fe165       -0.1946006  0.1888760  -1.030 0.302966    
## party_fe166        0.4226014  0.1897407   2.227 0.026020 *  
## party_fe167        0.4178932  0.2113280   1.977 0.048101 *  
## party_fe168        0.4049408  0.2112734   1.917 0.055396 .  
## party_fe169        0.2006974  0.1889438   1.062 0.288246    
## party_fe170        0.1445691  0.1864303   0.775 0.438143    
## party_fe171       -0.0112985  0.1589088  -0.071 0.943324    
## party_fe172        0.1494565  0.1596683   0.936 0.349342    
## party_fe173        0.4018483  0.1617840   2.484 0.013063 *  
## party_fe174        0.3086547  0.1849353   1.669 0.095247 .  
## party_fe175        0.3899036  0.3382108   1.153 0.249087    
## party_fe176        0.5166935  0.3386036   1.526 0.127150    
## party_fe177        0.2052593  0.2111355   0.972 0.331062    
## party_fe178        0.1981009  0.1612331   1.229 0.219316    
## party_fe179       -0.0325601  0.1617901  -0.201 0.840521    
## party_fe180        0.4140961  0.1614910   2.564 0.010400 *  
## party_fe181        0.4317962  0.1625232   2.657 0.007939 ** 
## party_fe182        0.6120718  0.2486054   2.462 0.013884 *  
## party_fe183        0.2838377  0.1862001   1.524 0.127545    
## party_fe184        0.2235952  0.1592449   1.404 0.160416    
## party_fe185        0.0790239  0.1860440   0.425 0.671049    
## party_fe186        0.1651893  0.1601832   1.031 0.302524    
## party_fe187        0.4672153  0.1709850   2.732 0.006331 ** 
## party_fe188        0.5210257  0.1708882   3.049 0.002321 ** 
## party_fe189        0.2542381  0.3406794   0.746 0.455577    
## party_fe190        0.2900744  0.3407403   0.851 0.394682    
## party_fe191        0.1708064  0.3405764   0.502 0.616049    
## party_fe192        0.3256130  0.3408106   0.955 0.339465    
## party_fe193        0.3283002  0.3408163   0.963 0.335503    
## party_fe194        0.3621570  0.3408930   1.062 0.288169    
## party_fe195        0.2476039  0.3419392   0.724 0.469063    
## party_fe196        0.3799412  0.1659567   2.289 0.022140 *  
## party_fe197        0.3484997  0.1660475   2.099 0.035936 *  
## party_fe198        0.1282749  0.2519593   0.509 0.610721    
## party_fe199        0.3001872  0.2541265   1.181 0.237617    
## party_fe200        0.2857900  0.2556799   1.118 0.263776    
## party_fe201        0.1483861  0.3376403   0.439 0.660352    
## party_fe202        0.1861555  0.3376704   0.551 0.581482    
## party_fe203       -0.0647852  0.1588950  -0.408 0.683512    
## party_fe204        0.4753882  0.3382726   1.405 0.160046    
## party_fe205        0.4974326  0.1609456   3.091 0.002019 ** 
## party_fe206        0.0942065  0.1594469   0.591 0.554687    
## party_fe207        0.4307122  0.1846510   2.333 0.019751 *  
## party_fe208        0.3002204  0.1605975   1.869 0.061686 .  
## party_fe209        0.1505548  0.1614906   0.932 0.351282    
## party_fe210        0.2067273  0.1616166   1.279 0.200975    
## party_fe211        0.3115552  0.1601135   1.946 0.051788 .  
## party_fe212        0.1376711  0.2484190   0.554 0.579500    
## party_fe213        0.2787245  0.1617333   1.723 0.084949 .  
## party_fe214        0.2115177  0.1615723   1.309 0.190615    
## party_fe215        0.4180940  0.1626042   2.571 0.010192 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3244 on 2464 degrees of freedom
## Multiple R-squared:  0.8881, Adjusted R-squared:  0.8766 
## F-statistic: 77.31 on 253 and 2464 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1"><span class="kw">stargazer</span>(model6)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:18
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.749$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.450$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.029$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.002$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  spdiffgroup\_ruled &amp; 0.0001 \\ 
##   &amp; (0.0003) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.008 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.042 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.101 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.113$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.081 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.107 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.033 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.130$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.122$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.129$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.157$^{**}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.125$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.038 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.060 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.049 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.080 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.079 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.150$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.113 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.102 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.026 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.028 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.061 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.039 \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.025 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.073 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.026 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.0002 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.019 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.010 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.003 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.020 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.080 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.048 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.287$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.270$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.436$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.117 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.006 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.128 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.183 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.355$^{**}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.180 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.130 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.263$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.036 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.158 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.018 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.094 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.469$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.411$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.406$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.605$^{***}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.008 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.205$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.054 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.137 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.351$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.222$^{*}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.077 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.159 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.246 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.064 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.023 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.106 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.324$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.164 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.295 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.187 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.184 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.796$^{***}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.284$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.130 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.156 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.102 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.065 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.059 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.157 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.383$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.142 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.184$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.107 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.540$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.186 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.448$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.083 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.001 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.143 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.071 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.294$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.181 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.033 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.239$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.131 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.052 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.240 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.157 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.047 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.241 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.154 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.372$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.136 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.646$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.444$^{*}$ \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.126 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.161 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.107 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.027 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.073 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.064 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.172 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.068 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.607$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.237$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.619$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.076 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.296$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.510$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.379$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.161 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.279 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.563$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.457$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.324 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.686$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.186 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.663$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.744$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.457$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.494$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.379$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.276$^{*}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.063 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.029 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.089 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.218 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.001 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.193$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.153 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.034 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.132 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.012 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.068 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.012 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.212$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.392$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.235$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.339$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.032 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.001 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.042 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.223 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.039 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.312$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.177 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.466$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.014 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.135 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.081 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.011 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.006 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.203$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.103 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.024 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.024 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.896$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.168 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.150 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.012 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.132 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.135 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.437$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.232$^{*}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.064 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.111 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.105 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.001 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.294$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.116 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.130 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.102 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.199 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.223 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.029 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.195 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.423$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.418$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.405$^{*}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.201 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.145 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.011 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.149 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.402$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.390 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.517 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.205 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.198 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.033 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.414$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.432$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.612$^{**}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.284 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.224 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.079 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.165 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.467$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.521$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.254 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.290 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.171 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.326 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.328 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.362 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.248 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.380$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.348$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.128 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.300 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.286 \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.148 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.186 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.065 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.475 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.497$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.094 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.431$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.300$^{*}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.151 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.207 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.312$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.138 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.279$^{*}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.212 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.418$^{**}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.088 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2464) \\ 
## F Statistic &amp; 77.311$^{***}$ (df = 253; 2464) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" data-line-number="1"><span class="co"># Model 7 in Table 1</span></a>
<a class="sourceLine" id="cb27-2" data-line-number="2"></a>
<a class="sourceLine" id="cb27-3" data-line-number="3"><span class="co"># The model is based on an updated dataset entiteled dataframe2</span></a>
<a class="sourceLine" id="cb27-4" data-line-number="4"></a>
<a class="sourceLine" id="cb27-5" data-line-number="5"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb27-6" data-line-number="6"></a>
<a class="sourceLine" id="cb27-7" data-line-number="7"><span class="kw">load</span>(<span class="st">&quot;./dataframe2.RData&quot;</span>)</a>
<a class="sourceLine" id="cb27-8" data-line-number="8"></a>
<a class="sourceLine" id="cb27-9" data-line-number="9">model7 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmean + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 + year_fe35 + year_fe36 + year_fe37 + year_fe38 + year_fe39 + year_fe40 + &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb27-10" data-line-number="10"></a>
<a class="sourceLine" id="cb27-11" data-line-number="11">model7 &lt;-<span class="st"> </span><span class="kw">lm</span>(model7, <span class="dt">data =</span> dataframe2)</a>
<a class="sourceLine" id="cb27-12" data-line-number="12"><span class="kw">summary</span>(model7)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model7, data = dataframe2)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3064 -0.1019  0.0000  0.1132  2.9369 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)        0.2939590  0.4866343   0.604 0.545846    
## lag_rile           0.7429012  0.0116672  63.674  &lt; 2e-16 ***
## lag_cmean          0.2033744  0.0881781   2.306 0.021156 *  
## lag_econ_glob      0.0099457  0.0069188   1.437 0.150682    
## interaction       -0.0026632  0.0012431  -2.142 0.032235 *  
## spsamegroup_ruled  0.0010261  0.0005646   1.817 0.069271 .  
## year_fe2           0.0440227  0.0710595   0.620 0.535621    
## year_fe3           0.0228377  0.0702701   0.325 0.745204    
## year_fe4           0.0518573  0.0704878   0.736 0.461975    
## year_fe5           0.1157962  0.0705704   1.641 0.100931    
## year_fe6           0.1310695  0.0703445   1.863 0.062524 .  
## year_fe7           0.1000158  0.0705231   1.418 0.156236    
## year_fe8           0.1232858  0.0696043   1.771 0.076623 .  
## year_fe9           0.0548058  0.0699825   0.783 0.433609    
## year_fe10          0.1501686  0.0676246   2.221 0.026451 *  
## year_fe11          0.1449726  0.0674354   2.150 0.031651 *  
## year_fe12          0.1564946  0.0672565   2.327 0.020040 *  
## year_fe13          0.1893289  0.0681321   2.779 0.005489 ** 
## year_fe14          0.1546883  0.0690175   2.241 0.025080 *  
## year_fe15          0.0027629  0.0696835   0.040 0.968376    
## year_fe16          0.1065505  0.0706791   1.508 0.131782    
## year_fe17          0.0984559  0.0707968   1.391 0.164425    
## year_fe18          0.1389119  0.0722954   1.921 0.054770 .  
## year_fe19          0.1404120  0.0737473   1.904 0.057011 .  
## year_fe20          0.2110862  0.0723706   2.917 0.003563 ** 
## year_fe21          0.1785959  0.0739356   2.416 0.015770 *  
## year_fe22          0.1728445  0.0767591   2.252 0.024408 *  
## year_fe23          0.1220723  0.0795849   1.534 0.125169    
## year_fe24          0.1271977  0.0802113   1.586 0.112894    
## year_fe25          0.1598167  0.0844247   1.893 0.058453 .  
## year_fe26          0.1359112  0.0829483   1.639 0.101421    
## year_fe27          0.1131075  0.0802235   1.410 0.158671    
## year_fe28          0.1576292  0.0799535   1.972 0.048757 *  
## year_fe29          0.1090894  0.0800038   1.364 0.172811    
## year_fe30          0.0848484  0.0774205   1.096 0.273192    
## year_fe31          0.1118906  0.0795457   1.407 0.159644    
## year_fe32          0.0672861  0.0805595   0.835 0.403652    
## year_fe33          0.0908364  0.0787998   1.153 0.249105    
## year_fe34          0.1057639  0.0777415   1.360 0.173788    
## year_fe35          0.2259860  0.0737394   3.065 0.002199 ** 
## year_fe36          0.1206572  0.0737624   1.636 0.101996    
## year_fe37          0.1023269  0.0748512   1.367 0.171705    
## year_fe38          0.0671582  0.0755642   0.889 0.374204    
## year_fe39          0.0525474  0.0799007   0.658 0.510807    
## year_fe40          0.0055640  0.0848564   0.066 0.947725    
## party_fe2         -0.0865497  0.1056640  -0.819 0.412793    
## party_fe3         -0.1261594  0.1073163  -1.176 0.239854    
## party_fe4          0.2835110  0.1068061   2.654 0.007986 ** 
## party_fe5          0.2969785  0.1068653   2.779 0.005487 ** 
## party_fe6          0.3502420  0.1079264   3.245 0.001187 ** 
## party_fe7         -0.1363697  0.1437086  -0.949 0.342732    
## party_fe8         -0.0235123  0.1435328  -0.164 0.869891    
## party_fe9          0.1143299  0.1433565   0.798 0.425211    
## party_fe10         0.1696221  0.1433684   1.183 0.236855    
## party_fe11         0.3467627  0.1438153   2.411 0.015961 *  
## party_fe12         0.7449758  0.1443263   5.162 2.61e-07 ***
## party_fe13        -0.1032033  0.1333211  -0.774 0.438935    
## party_fe14        -0.2412473  0.1294709  -1.863 0.062513 .  
## party_fe15        -0.1158266  0.1061734  -1.091 0.275396    
## party_fe16        -0.1900481  0.0933907  -2.035 0.041941 *  
## party_fe17         0.0660893  0.0944209   0.700 0.484017    
## party_fe18         0.4448653  0.1040696   4.275 1.97e-05 ***
## party_fe19         0.1358578  0.0933040   1.456 0.145476    
## party_fe20         0.4759105  0.0957156   4.972 6.99e-07 ***
## party_fe21         0.4290555  0.1000508   4.288 1.86e-05 ***
## party_fe22         0.5549631  0.0959333   5.785 8.00e-09 ***
## party_fe23         0.6014048  0.1145750   5.249 1.64e-07 ***
## party_fe24        -0.0363399  0.1048230  -0.347 0.728857    
## party_fe25        -0.2246909  0.1075118  -2.090 0.036709 *  
## party_fe26         0.0139845  0.1062152   0.132 0.895261    
## party_fe27         0.1478293  0.3534368   0.418 0.675785    
## party_fe28         0.3536957  0.2136558   1.655 0.097938 .  
## party_fe29         0.2317485  0.1056337   2.194 0.028320 *  
## party_fe30         0.2918895  0.1063120   2.746 0.006076 ** 
## party_fe31         0.1131084  0.1002285   1.129 0.259196    
## party_fe32         0.1791856  0.0969318   1.849 0.064617 .  
## party_fe33         0.2197419  0.1607249   1.367 0.171667    
## party_fe34         0.1034981  0.0980651   1.055 0.291326    
## party_fe35         0.0222293  0.0994570   0.224 0.823157    
## party_fe36         0.1202326  0.2544216   0.473 0.636553    
## party_fe37         0.3505961  0.0964826   3.634 0.000284 ***
## party_fe38         0.3909668  0.1145594   3.413 0.000652 ***
## party_fe39         0.1939225  0.2129681   0.911 0.362595    
## party_fe40         0.3321295  0.1908948   1.740 0.081987 .  
## party_fe41         0.1943440  0.2127815   0.913 0.361132    
## party_fe42         0.1620159  0.1511509   1.072 0.283859    
## party_fe43         0.8155655  0.2144135   3.804 0.000145 ***
## party_fe44         0.3149247  0.0959915   3.281 0.001047 ** 
## party_fe45         0.1723270  0.0981384   1.756 0.079197 .  
## party_fe46         0.1799405  0.1002705   1.795 0.072826 .  
## party_fe47         0.0886954  0.1044006   0.850 0.395633    
## party_fe48         0.1055555  0.1274783   0.828 0.407721    
## party_fe49         0.1199688  0.0954530   1.257 0.208911    
## party_fe50         0.2110853  0.0945441   2.233 0.025644 *  
## party_fe51         0.4449910  0.0962757   4.622 3.96e-06 ***
## party_fe52        -0.1251681  0.2124723  -0.589 0.555836    
## party_fe53         0.2728409  0.0958880   2.845 0.004465 ** 
## party_fe54         0.1522868  0.1895952   0.803 0.421911    
## party_fe55         0.4842178  0.1183095   4.093 4.37e-05 ***
## party_fe56         0.2071911  0.2128340   0.973 0.330390    
## party_fe57         0.4885935  0.1347288   3.626 0.000292 ***
## party_fe58         0.1134582  0.1918845   0.591 0.554374    
## party_fe59         0.0154683  0.1434161   0.108 0.914117    
## party_fe60         0.0917571  0.1236846   0.742 0.458228    
## party_fe61         0.0631486  0.1596408   0.396 0.692453    
## party_fe62        -0.2750113  0.1218784  -2.256 0.024115 *  
## party_fe63        -0.0642438  0.1885095  -0.341 0.733279    
## party_fe64         0.0039384  0.1001051   0.039 0.968620    
## party_fe65         0.2673501  0.0999450   2.675 0.007514 ** 
## party_fe66         0.1687981  0.0996758   1.693 0.090469 .  
## party_fe67        -0.1177564  0.1050414  -1.121 0.262357    
## party_fe68         0.1765698  0.1920530   0.919 0.357970    
## party_fe69        -0.2080516  0.1000524  -2.079 0.037663 *  
## party_fe70        -0.0856224  0.0990092  -0.865 0.387222    
## party_fe71         0.2180701  0.3576105   0.610 0.542042    
## party_fe72         0.1289856  0.3575654   0.361 0.718324    
## party_fe73         0.3210631  0.1113256   2.884 0.003954 ** 
## party_fe74         0.3524748  0.1237665   2.848 0.004431 ** 
## party_fe75         0.1908693  0.1005633   1.898 0.057792 .  
## party_fe76         0.1560463  0.1151376   1.355 0.175423    
## party_fe77         0.5481759  0.1060382   5.170 2.50e-07 ***
## party_fe78         0.2764881  0.1751914   1.578 0.114624    
## party_fe79         0.0987309  0.1225727   0.805 0.420602    
## party_fe80         0.1230844  0.1892796   0.650 0.515562    
## party_fe81         0.0670388  0.1421418   0.472 0.637223    
## party_fe82        -0.0560837  0.1504614  -0.373 0.709364    
## party_fe83        -0.0977683  0.1188954  -0.822 0.410969    
## party_fe84         0.0347811  0.1609498   0.216 0.828925    
## party_fe85         0.1300486  0.1054319   1.233 0.217491    
## party_fe86         0.0343276  0.3522805   0.097 0.922380    
## party_fe87         0.5863817  0.1127010   5.203 2.09e-07 ***
## party_fe88         0.2213531  0.1181342   1.874 0.061063 .  
## party_fe89         0.5982083  0.1904134   3.142 0.001696 ** 
## party_fe90        -0.0089136  0.1621542  -0.055 0.956166    
## party_fe91         0.2659546  0.1221993   2.176 0.029603 *  
## party_fe92         0.4834595  0.1228399   3.936 8.48e-05 ***
## party_fe93         0.3505779  0.1224808   2.862 0.004235 ** 
## party_fe94         0.1230844  0.1892796   0.650 0.515562    
## party_fe95         0.1313820  0.1481782   0.887 0.375339    
## party_fe96         0.2974934  0.1112118   2.675 0.007513 ** 
## party_fe97         0.5969479  0.1904059   3.135 0.001734 ** 
## party_fe98         0.4269394  0.1900720   2.246 0.024764 *  
## party_fe99         0.3050589  0.3537073   0.862 0.388502    
## party_fe100        0.6642099  0.1619540   4.101 4.22e-05 ***
## party_fe101        0.1485177  0.1542390   0.963 0.335672    
## party_fe102        0.6998487  0.1148345   6.094 1.24e-09 ***
## party_fe103        0.7166025  0.1622985   4.415 1.04e-05 ***
## party_fe104        0.4269394  0.1900720   2.246 0.024764 *  
## party_fe105        0.4729149  0.1046345   4.520 6.43e-06 ***
## party_fe106        0.3409849  0.1062806   3.208 0.001349 ** 
## party_fe107        0.2118621  0.1394730   1.519 0.128863    
## party_fe108       -0.1288573  0.1062449  -1.213 0.225289    
## party_fe109       -0.0488075  0.1027345  -0.475 0.634762    
## party_fe110        0.0273291  0.2176206   0.126 0.900072    
## party_fe111        0.1541822  0.2590462   0.595 0.551760    
## party_fe112       -0.0224912  0.1387474  -0.162 0.871236    
## party_fe113        0.1850055  0.1028647   1.799 0.072193 .  
## party_fe114        0.1275402  0.1064468   1.198 0.230949    
## party_fe115       -0.4575567  0.1908869  -2.397 0.016590 *  
## party_fe116        0.1399803  0.1032298   1.356 0.175199    
## party_fe117       -0.0741208  0.1363629  -0.544 0.586788    
## party_fe118       -0.0372208  0.1012431  -0.368 0.713169    
## party_fe119       -0.0873688  0.2167402  -0.403 0.686901    
## party_fe120        0.2318242  0.1016537   2.281 0.022646 *  
## party_fe121        0.3180646  0.1661519   1.914 0.055677 .  
## party_fe122        0.2080036  0.1122981   1.852 0.064089 .  
## party_fe123        0.3495866  0.1743371   2.005 0.045028 *  
## party_fe124       -0.0848088  0.1131388  -0.750 0.453555    
## party_fe125        0.0061825  0.0998368   0.062 0.950626    
## party_fe126       -0.0765287  0.1137544  -0.673 0.501156    
## party_fe127       -0.2201171  0.3536618  -0.622 0.533730    
## party_fe128        0.0130441  0.1003673   0.130 0.896604    
## party_fe129        0.3270405  0.1748138   1.871 0.061471 .  
## party_fe130        0.1967448  0.1042498   1.887 0.059224 .  
## party_fe131        0.4876570  0.2161318   2.256 0.024124 *  
## party_fe132        0.2077153  0.1036028   2.005 0.045061 *  
## party_fe133       -0.0102995  0.0996709  -0.103 0.917704    
## party_fe134       -0.1517284  0.1231282  -1.232 0.217941    
## party_fe135       -0.0988055  0.2137358  -0.462 0.643915    
## party_fe136       -0.1327837  0.1509572  -0.880 0.379140    
## party_fe137        0.0023086  0.0979522   0.024 0.981199    
## party_fe138        0.2455900  0.0976171   2.516 0.011926 *  
## party_fe139        0.3569638  0.0986971   3.617 0.000303 ***
## party_fe140        0.1323263  0.1061651   1.246 0.212708    
## party_fe141        0.0319206  0.1709708   0.187 0.851907    
## party_fe142       -0.0454110  0.1077303  -0.422 0.673402    
## party_fe143        0.3230542  0.1072977   3.011 0.002627 ** 
## party_fe144        0.9447568  0.2166619   4.361 1.34e-05 ***
## party_fe145        0.2438156  0.1077530   2.263 0.023724 *  
## party_fe146        0.1737664  0.1874911   0.927 0.354106    
## party_fe147        0.1208423  0.1509956   0.800 0.423598    
## party_fe148        0.0304152  0.0977726   0.311 0.755761    
## party_fe149        0.1450231  0.1439979   1.007 0.313958    
## party_fe150        0.1335202  0.0966733   1.381 0.167336    
## party_fe151        0.4634974  0.0990255   4.681 2.99e-06 ***
## party_fe152        0.1808098  0.1264991   1.429 0.153011    
## party_fe153        0.0437070  0.1007300   0.434 0.664391    
## party_fe154       -0.1036104  0.1313535  -0.789 0.430297    
## party_fe155        0.0759675  0.1382934   0.549 0.582826    
## party_fe156        0.0260583  0.0955990   0.273 0.785196    
## party_fe157        0.2877495  0.1062347   2.709 0.006795 ** 
## party_fe158        0.2602724  0.0957066   2.719 0.006576 ** 
## party_fe159        0.1296106  0.0947166   1.368 0.171288    
## party_fe160       -0.0276668  0.1433665  -0.193 0.846988    
## party_fe161        0.1054684  0.3517095   0.300 0.764294    
## party_fe162        0.1757999  0.1449725   1.213 0.225361    
## party_fe163        0.5354947  0.1454603   3.681 0.000236 ***
## party_fe164       -0.1420350  0.1612589  -0.881 0.378503    
## party_fe165       -0.0902493  0.1272571  -0.709 0.478262    
## party_fe166        0.4166018  0.1910187   2.181 0.029265 *  
## party_fe167        0.4140468  0.2149507   1.926 0.054168 .  
## party_fe168        0.2209255  0.1523322   1.450 0.147083    
## party_fe169        0.1883650  0.1904425   0.989 0.322698    
## party_fe170       -0.0166244  0.1504192  -0.111 0.912004    
## party_fe171       -0.0933371  0.1246245  -0.749 0.453948    
## party_fe172        0.0049009  0.1259425   0.039 0.968962    
## party_fe173        0.3625652  0.1263101   2.870 0.004128 ** 
## party_fe174        0.0607784  0.1335422   0.455 0.649052    
## party_fe175        0.3679504  0.3518961   1.046 0.295820    
## party_fe176        0.4979287  0.3521896   1.414 0.157522    
## party_fe177        0.2164124  0.1895037   1.142 0.253547    
## party_fe178        0.1372861  0.1310989   1.047 0.295094    
## party_fe179        0.0323741  0.1292970   0.250 0.802306    
## party_fe180        0.3134107  0.1305799   2.400 0.016449 *  
## party_fe181        0.3443831  0.1307837   2.633 0.008501 ** 
## party_fe182        0.5868390  0.2555061   2.297 0.021700 *  
## party_fe183        0.2446672  0.1878785   1.302 0.192926    
## party_fe184        0.1421707  0.1339172   1.062 0.288488    
## party_fe185        0.0375388  0.1877966   0.200 0.841579    
## party_fe186        0.3138100  0.1334484   2.352 0.018760 *  
## party_fe187        0.4492158  0.1714778   2.620 0.008846 ** 
## party_fe188        0.5025444  0.1714050   2.932 0.003394 ** 
## party_fe189        0.1708713  0.3547913   0.482 0.630118    
## party_fe190        0.2076088  0.3548340   0.585 0.558533    
## party_fe191        0.0853416  0.3547224   0.241 0.809892    
## party_fe192        0.2440411  0.3548840   0.688 0.491717    
## party_fe193        0.2467958  0.3548881   0.695 0.486847    
## party_fe194        0.2815040  0.3549434   0.793 0.427785    
## party_fe195        0.1148301  0.2589817   0.443 0.657515    
## party_fe196        0.2135993  0.1575948   1.355 0.175401    
## party_fe197        0.3223696  0.1577150   2.044 0.041040 *  
## party_fe198        0.0549988  0.2593318   0.212 0.832060    
## party_fe199        0.2909256  0.1360814   2.138 0.032607 *  
## party_fe200        0.2484484  0.2598437   0.956 0.339076    
## party_fe201        0.1522068  0.3514764   0.433 0.665010    
## party_fe202        0.1909260  0.3515013   0.543 0.587051    
## party_fe203       -0.0908505  0.1606073  -0.566 0.571661    
## party_fe204        0.4874320  0.3519829   1.385 0.166211    
## party_fe205        0.5045613  0.1610073   3.134 0.001742 ** 
## party_fe206        0.0964490  0.1598381   0.603 0.546277    
## party_fe207        0.4298269  0.1880893   2.285 0.022369 *  
## party_fe208        0.2950140  0.1597006   1.847 0.064803 .  
## party_fe209        0.1123844  0.1349557   0.833 0.405052    
## party_fe210        0.2079872  0.1345142   1.546 0.122159    
## party_fe211        0.2410043  0.1521153   1.584 0.113219    
## party_fe212        0.0580438  0.2133164   0.272 0.785563    
## party_fe213        0.2094706  0.1515706   1.382 0.167074    
## party_fe214        0.2533442  0.1337759   1.894 0.058348 .  
## party_fe215        0.3344497  0.1522628   2.197 0.028130 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3419 on 3006 degrees of freedom
##   (22 observations deleted due to missingness)
## Multiple R-squared:  0.8756, Adjusted R-squared:  0.8649 
## F-statistic: 81.97 on 258 and 3006 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" data-line-number="1"><span class="kw">stargazer</span>(model7)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:22
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.743$^{***}$ \\ 
##   &amp; (0.012) \\ 
##   &amp; \\ 
##  lag\_cmean &amp; 0.203$^{**}$ \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.010 \\ 
##   &amp; (0.007) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.003$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.001$^{*}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.044 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.023 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.052 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.116 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.131$^{*}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.100 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.123$^{*}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.055 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.150$^{**}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.145$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.156$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.189$^{***}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.155$^{**}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.003 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.107 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.098 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.139$^{*}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.140$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.211$^{***}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.179$^{**}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.173$^{**}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.122 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.127 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.160$^{*}$ \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.136 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.113 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.158$^{**}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.109 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.085 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.112 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.067 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.091 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.106 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe35 &amp; 0.226$^{***}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe36 &amp; 0.121 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe37 &amp; 0.102 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe38 &amp; 0.067 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe39 &amp; 0.053 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe40 &amp; 0.006 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.087 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.126 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.284$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.297$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.350$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.136 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.024 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.114 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.170 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.347$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.745$^{***}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.103 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.241$^{*}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.116 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.190$^{**}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.066 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.445$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.136 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.476$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.429$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.555$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.601$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.036 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.225$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; 0.014 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.148 \\ 
##   &amp; (0.353) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.354$^{*}$ \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.232$^{**}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.292$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.113 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.179$^{*}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.220 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.103 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.022 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.120 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.351$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.391$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.194 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.332$^{*}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.194 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.816$^{***}$ \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.315$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.172$^{*}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.180$^{*}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.089 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.106 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.120 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.211$^{**}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.445$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.125 \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.273$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.152 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.484$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.207 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.489$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.113 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.015 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.092 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.063 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.275$^{**}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.064 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.004 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.267$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.169$^{*}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.118 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.177 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.208$^{**}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.086 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.218 \\ 
##   &amp; (0.358) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.129 \\ 
##   &amp; (0.358) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.321$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.191$^{*}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.156 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.548$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.276 \\ 
##   &amp; (0.175) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.099 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.123 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.067 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.056 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.098 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.035 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.130 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.034 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.586$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.221$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.598$^{***}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.009 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.266$^{**}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.483$^{***}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.351$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.123 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.131 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.297$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.597$^{***}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.427$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.305 \\ 
##   &amp; (0.354) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.664$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 0.149 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.700$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.717$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.427$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.473$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.341$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.212 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.129 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.049 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.027 \\ 
##   &amp; (0.218) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.154 \\ 
##   &amp; (0.259) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.022 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.185$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.128 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.458$^{**}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.140 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.074 \\ 
##   &amp; (0.136) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.037 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.087 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.232$^{**}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.318$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.350$^{**}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.085 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.006 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.077 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.220 \\ 
##   &amp; (0.354) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.013 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.327$^{*}$ \\ 
##   &amp; (0.175) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.488$^{**}$ \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.208$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.010 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.152 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.099 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.133 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.002 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.246$^{**}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.357$^{***}$ \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.132 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.032 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.045 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.945$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.174 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.121 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.030 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.145 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.134 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.463$^{***}$ \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.181 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.044 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.104 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.076 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.026 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.288$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.260$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.130 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; $-$0.028 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.105 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.176 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.535$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.142 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.090 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.414$^{*}$ \\ 
##   &amp; (0.215) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.221 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.188 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; $-$0.017 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.093 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.005 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.363$^{***}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.061 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.368 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.498 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.216 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.137 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.032 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.313$^{**}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.344$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.587$^{**}$ \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.245 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.142 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.038 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.314$^{**}$ \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.449$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.503$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.171 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.208 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.085 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.244 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.247 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.282 \\ 
##   &amp; (0.355) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.115 \\ 
##   &amp; (0.259) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.214 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.322$^{**}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.055 \\ 
##   &amp; (0.259) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.291$^{**}$ \\ 
##   &amp; (0.136) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.248 \\ 
##   &amp; (0.260) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.152 \\ 
##   &amp; (0.351) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.191 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.091 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.487 \\ 
##   &amp; (0.352) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.505$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.096 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.430$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.295$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.112 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.208 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.241 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.058 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.209 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.253$^{*}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.334$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  Constant &amp; 0.294 \\ 
##   &amp; (0.487) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 3,265 \\ 
## R$^{2}$ &amp; 0.876 \\ 
## Adjusted R$^{2}$ &amp; 0.865 \\ 
## Residual Std. Error &amp; 0.342 (df = 3006) \\ 
## F Statistic &amp; 81.972$^{***}$ (df = 258; 3006) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="figure-1---left-panel" class="section level2">
<h2>Figure 1 - left panel</h2>
<p>The left panel in Figure 1 is based on Model 4 and Model 5 in Tabel 1. As described in the article, the coefficients of the spatial lags are multiplied by the average number of neighbors. The results of the multiplications are stored in dataframe3 in the form of estimated short-term and long-term effects for our spatial lag variables.</p>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb31-2" data-line-number="2"></a>
<a class="sourceLine" id="cb31-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe3.RData&quot;</span>)</a>
<a class="sourceLine" id="cb31-4" data-line-number="4"></a>
<a class="sourceLine" id="cb31-5" data-line-number="5"><span class="kw">ggplot</span>(dataframe3, <span class="kw">aes</span>(<span class="dt">x=</span>name, <span class="dt">y=</span>coefs, <span class="dt">color=</span>model, <span class="dt">group=</span>model)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb31-6" data-line-number="6"><span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">size=</span><span class="dv">1</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb31-7" data-line-number="7"><span class="st">  </span><span class="kw">geom_errorbar</span>(<span class="kw">aes</span>(<span class="dt">ymin=</span>li, <span class="dt">ymax=</span>ui), <span class="dt">width=</span>.<span class="dv">01</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb31-8" data-line-number="8"><span class="st">  </span><span class="kw">coord_flip</span>() <span class="op">+</span><span class="st"> </span><span class="kw">theme_bw</span>() <span class="op">+</span><span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept=</span><span class="dv">0</span>, <span class="dt">linetype=</span><span class="st">&quot;dashed&quot;</span>, </a>
<a class="sourceLine" id="cb31-9" data-line-number="9">                                         <span class="dt">color =</span> <span class="st">&quot;gray50&quot;</span>, <span class="dt">size=</span><span class="fl">0.5</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb31-10" data-line-number="10"><span class="st">  </span><span class="kw">ylab</span>(<span class="st">&quot;Spatial Effects&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.title=</span><span class="kw">element_blank</span>()) <span class="op">+</span></a>
<a class="sourceLine" id="cb31-11" data-line-number="11"><span class="st">  </span><span class="kw">scale_color_manual</span>(<span class="dt">values=</span><span class="kw">c</span>(<span class="st">&quot;gray80&quot;</span>, <span class="st">&quot;gray50&quot;</span>), <span class="dt">guide =</span> <span class="kw">guide_legend</span>(<span class="dt">reverse=</span><span class="ot">TRUE</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb31-12" data-line-number="12"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">panel.grid.major =</span> <span class="kw">element_blank</span>(), <span class="dt">panel.grid.minor =</span> <span class="kw">element_blank</span>()) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">&quot;Global Model&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb31-13" data-line-number="13"><span class="st">  </span><span class="kw">ylim</span>(<span class="op">-</span><span class="fl">0.025</span>, <span class="fl">0.025</span>)</a></code></pre></div>
<p><img 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" width="768" /></p>
</div>
<div id="figure-1---right-panel" class="section level2">
<h2>Figure 1 - right panel</h2>
<p>The right panel in Figure 1 is based on Model D1-D4 in Table S3 which are fullt reproduced below (see Section Table S3).</p>
<p>To reproduce the right panel of Figure 1, the coefficients of the spatial lags are muliplied with the average number of neighbors in the same manner as before. The results of the multiplications are stored in dataframe4 in the form of estimated long-term effects for our spatial lag variables.</p>
<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb32-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb32-2" data-line-number="2"></a>
<a class="sourceLine" id="cb32-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe4.RData&quot;</span>)</a>
<a class="sourceLine" id="cb32-4" data-line-number="4"></a>
<a class="sourceLine" id="cb32-5" data-line-number="5"><span class="kw">ggplot</span>(dataframe4, <span class="kw">aes</span>(<span class="dt">x=</span> <span class="kw">reorder</span>(name, coefs), <span class="dt">y=</span> coefs)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb32-6" data-line-number="6"><span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">size=</span><span class="dv">2</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>), <span class="dt">color =</span> <span class="st">&quot;gray80&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb32-7" data-line-number="7"><span class="st">  </span><span class="kw">geom_errorbar</span>(<span class="kw">aes</span>(<span class="dt">ymin=</span>li, <span class="dt">ymax=</span>ui), <span class="dt">width=</span>.<span class="dv">01</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>), <span class="dt">color =</span> <span class="st">&quot;gray80&quot;</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb32-8" data-line-number="8"><span class="st">  </span><span class="kw">coord_flip</span>() <span class="op">+</span><span class="st"> </span><span class="kw">theme_bw</span>() <span class="op">+</span><span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept=</span><span class="dv">0</span>, <span class="dt">linetype=</span><span class="st">&quot;dashed&quot;</span>, </a>
<a class="sourceLine" id="cb32-9" data-line-number="9">                                         <span class="dt">color =</span> <span class="st">&quot;gray50&quot;</span>, <span class="dt">size=</span><span class="fl">0.5</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb32-10" data-line-number="10"><span class="st">  </span><span class="kw">ylab</span>(<span class="st">&quot;Spatial Effects&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.title =</span> <span class="kw">element_blank</span>()) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb32-11" data-line-number="11"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">panel.grid.major =</span> <span class="kw">element_blank</span>(), <span class="dt">panel.grid.minor =</span> <span class="kw">element_blank</span>()) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">&quot;Group Models&quot;</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb32-12" data-line-number="12"><span class="st">  </span><span class="kw">ylim</span>(<span class="op">-</span><span class="fl">0.15</span>, <span class="fl">0.15</span>) </a></code></pre></div>
<p><img 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" width="768" /></p>
</div>
</div>
<div id="supplementary-information" class="section level1">
<h1>Supplementary Information</h1>
<p>In the following, we provide the code and data to reproduce the results in the supplementary material (SI). We follow the same order as in the SI.</p>
<div id="table-s2" class="section level2">
<h2>Table S2</h2>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" data-line-number="1"><span class="co"># load datasets </span></a>
<a class="sourceLine" id="cb33-2" data-line-number="2"></a>
<a class="sourceLine" id="cb33-3" data-line-number="3"></a>
<a class="sourceLine" id="cb33-4" data-line-number="4"><span class="kw">load</span>(<span class="st">&quot;./dyad_pes.RData&quot;</span>)</a>
<a class="sourceLine" id="cb33-5" data-line-number="5"><span class="kw">load</span>(<span class="st">&quot;./dyad_epp.RData&quot;</span>)</a>
<a class="sourceLine" id="cb33-6" data-line-number="6"><span class="kw">load</span>(<span class="st">&quot;./dyad_alde.RData&quot;</span>)</a>
<a class="sourceLine" id="cb33-7" data-line-number="7"><span class="kw">load</span>(<span class="st">&quot;./dyad_uen.RData&quot;</span>)</a>
<a class="sourceLine" id="cb33-8" data-line-number="8"></a>
<a class="sourceLine" id="cb33-9" data-line-number="9">pes &lt;-<span class="st"> </span>dyad_pes <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">group_by</span>(yearpartyidi)  <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb33-10" data-line-number="10"><span class="st">  </span>dplyr<span class="op">::</span><span class="kw">summarize</span>(<span class="dt">sum =</span> <span class="kw">sum</span>(samegroup_ruled))</a>
<a class="sourceLine" id="cb33-11" data-line-number="11"></a>
<a class="sourceLine" id="cb33-12" data-line-number="12"><span class="kw">mean</span>(pes<span class="op">$</span>sum)</a></code></pre></div>
<pre><code>## [1] 6.187805</code></pre>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" data-line-number="1">epp &lt;-<span class="st"> </span>dyad_epp <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">group_by</span>(yearpartyidi)  <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb35-2" data-line-number="2"><span class="st">  </span>dplyr<span class="op">::</span><span class="kw">summarize</span>(<span class="dt">sum =</span> <span class="kw">sum</span>(samegroup_ruled))</a>
<a class="sourceLine" id="cb35-3" data-line-number="3"></a>
<a class="sourceLine" id="cb35-4" data-line-number="4"><span class="kw">mean</span>(epp<span class="op">$</span>sum)</a></code></pre></div>
<pre><code>## [1] 4.076923</code></pre>
<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb37-1" data-line-number="1">alde &lt;-<span class="st"> </span>dyad_alde <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">group_by</span>(yearpartyidi)  <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb37-2" data-line-number="2"><span class="st">  </span>dplyr<span class="op">::</span><span class="kw">summarize</span>(<span class="dt">sum =</span> <span class="kw">sum</span>(samegroup_ruled))</a>
<a class="sourceLine" id="cb37-3" data-line-number="3"></a>
<a class="sourceLine" id="cb37-4" data-line-number="4"><span class="kw">mean</span>(alde<span class="op">$</span>sum)</a></code></pre></div>
<pre><code>## [1] 3.303846</code></pre>
<div class="sourceCode" id="cb39"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb39-1" data-line-number="1">uen &lt;-<span class="st"> </span>dyad_uen <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">group_by</span>(yearpartyidi)  <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb39-2" data-line-number="2"><span class="st">  </span>dplyr<span class="op">::</span><span class="kw">summarize</span>(<span class="dt">sum =</span> <span class="kw">sum</span>(samegroup_ruled))</a>
<a class="sourceLine" id="cb39-3" data-line-number="3"></a>
<a class="sourceLine" id="cb39-4" data-line-number="4"><span class="kw">mean</span>(uen<span class="op">$</span>sum)</a></code></pre></div>
<pre><code>## [1] 0.3684211</code></pre>
</div>
<div id="table-s3" class="section level2">
<h2>Table S3</h2>
<div class="sourceCode" id="cb41"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb41-1" data-line-number="1"><span class="co"># load datasets </span></a>
<a class="sourceLine" id="cb41-2" data-line-number="2"></a>
<a class="sourceLine" id="cb41-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_pes.RData&quot;</span>)</a>
<a class="sourceLine" id="cb41-4" data-line-number="4"><span class="kw">load</span>(<span class="st">&quot;./dataframe_epp.RData&quot;</span>)</a>
<a class="sourceLine" id="cb41-5" data-line-number="5"><span class="kw">load</span>(<span class="st">&quot;./dataframe_alde.RData&quot;</span>)</a>
<a class="sourceLine" id="cb41-6" data-line-number="6"><span class="kw">load</span>(<span class="st">&quot;./dataframe_uen.RData&quot;</span>)</a>
<a class="sourceLine" id="cb41-7" data-line-number="7"></a>
<a class="sourceLine" id="cb41-8" data-line-number="8"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb41-9" data-line-number="9"></a>
<a class="sourceLine" id="cb41-10" data-line-number="10"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb41-11" data-line-number="11"></a>
<a class="sourceLine" id="cb41-12" data-line-number="12"><span class="co"># capture all parties minus one from colnames to include party fixed effects in the models</span></a>
<a class="sourceLine" id="cb41-13" data-line-number="13"></a>
<a class="sourceLine" id="cb41-14" data-line-number="14">partyfx &lt;-<span class="st"> </span><span class="kw">paste</span>(<span class="kw">colnames</span>(dataframe_pes[<span class="dv">24</span><span class="op">:</span><span class="dv">237</span>]), <span class="dt">sep=</span><span class="st">&quot;&quot;</span>)</a>
<a class="sourceLine" id="cb41-15" data-line-number="15"></a>
<a class="sourceLine" id="cb41-16" data-line-number="16"><span class="co"># Model D1 in Table S3</span></a>
<a class="sourceLine" id="cb41-17" data-line-number="17"></a>
<a class="sourceLine" id="cb41-18" data-line-number="18">modeld1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_sd + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb41-19" data-line-number="19"></a>
<a class="sourceLine" id="cb41-20" data-line-number="20">modeld1 &lt;-<span class="st"> </span><span class="kw">lm</span>(modeld1, <span class="dt">data =</span> dataframe_pes)</a>
<a class="sourceLine" id="cb41-21" data-line-number="21"><span class="kw">summary</span>(modeld1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modeld1, data = dataframe_pes)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92847 -0.09676 -0.00190  0.10785  2.07364 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)          -1.0737640  0.8180360  -1.313 0.189436    
## lag_rile              0.7463483  0.0129554  57.609  &lt; 2e-16 ***
## lag_cmedian           0.4537178  0.1576983   2.877 0.004048 ** 
## lag_econ_glob         0.0287869  0.0112346   2.562 0.010456 *  
## interaction          -0.0059622  0.0021090  -2.827 0.004736 ** 
## spsamegroup_ruled_sd  0.0034489  0.0010254   3.363 0.000782 ***
## year_fe2              0.0401672  0.0673101   0.597 0.550730    
## year_fe3              0.0057807  0.0667143   0.087 0.930958    
## year_fe4              0.0398822  0.0671133   0.594 0.552398    
## year_fe5              0.1011142  0.0671633   1.505 0.132324    
## year_fe6              0.1115692  0.0671845   1.661 0.096913 .  
## year_fe7              0.0797141  0.0674062   1.183 0.237085    
## year_fe8              0.1091119  0.0665124   1.640 0.101034    
## year_fe9              0.0382157  0.0670884   0.570 0.568979    
## year_fe10             0.1338767  0.0649152   2.062 0.039281 *  
## year_fe11             0.1289185  0.0646374   1.994 0.046209 *  
## year_fe12             0.1349040  0.0643985   2.095 0.036288 *  
## year_fe13             0.1610237  0.0652669   2.467 0.013687 *  
## year_fe14             0.1305669  0.0667469   1.956 0.050560 .  
## year_fe15            -0.0309334  0.0676322  -0.457 0.647441    
## year_fe16             0.0671835  0.0689498   0.974 0.329962    
## year_fe17             0.0556650  0.0691527   0.805 0.420921    
## year_fe18             0.0929018  0.0708753   1.311 0.190055    
## year_fe19             0.0876361  0.0725881   1.207 0.227430    
## year_fe20             0.1608173  0.0711613   2.260 0.023914 *  
## year_fe21             0.1236776  0.0731487   1.691 0.091007 .  
## year_fe22             0.1130511  0.0765215   1.477 0.139703    
## year_fe23             0.0527484  0.0795195   0.663 0.507176    
## year_fe24             0.0584918  0.0800819   0.730 0.465216    
## year_fe25             0.0844279  0.0851285   0.992 0.321407    
## year_fe26             0.0566037  0.0836508   0.677 0.498681    
## year_fe27             0.0380470  0.0809838   0.470 0.638532    
## year_fe28             0.0889644  0.0808386   1.101 0.271213    
## year_fe29             0.0430691  0.0811456   0.531 0.595630    
## year_fe30             0.0188825  0.0780733   0.242 0.808912    
## year_fe31             0.0346904  0.0801908   0.433 0.665345    
## year_fe32             0.0029255  0.0819535   0.036 0.971527    
## year_fe33             0.0169213  0.0798615   0.212 0.832216    
## year_fe34             0.0335379  0.0790273   0.424 0.671323    
## party_fe2            -0.0907425  0.1185717  -0.765 0.444168    
## party_fe3            -0.1222132  0.1232628  -0.991 0.321546    
## party_fe4             0.3100969  0.1198696   2.587 0.009740 ** 
## party_fe5             0.2984374  0.1193764   2.500 0.012485 *  
## party_fe6             0.4681466  0.1219012   3.840 0.000126 ***
## party_fe7            -0.1412865  0.1437940  -0.983 0.325920    
## party_fe8            -0.0292973  0.1435946  -0.204 0.838348    
## party_fe9             0.1063056  0.1434221   0.741 0.458638    
## party_fe10            0.1611693  0.1434454   1.124 0.261310    
## party_fe11            0.3354779  0.1440525   2.329 0.019947 *  
## party_fe12            0.1579443  0.2061373   0.766 0.443625    
## party_fe13           -0.1435196  0.1347740  -1.065 0.287030    
## party_fe14           -0.2786932  0.1314645  -2.120 0.034113 *  
## party_fe15           -0.0627888  0.1171518  -0.536 0.592034    
## party_fe16           -0.1654830  0.1014701  -1.631 0.103049    
## party_fe17           -0.0416039  0.1056429  -0.394 0.693751    
## party_fe18            0.4110990  0.1093197   3.761 0.000174 ***
## party_fe19            0.0920327  0.1014427   0.907 0.364369    
## party_fe20            0.4860047  0.1045834   4.647 3.54e-06 ***
## party_fe21            0.3962328  0.1058580   3.743 0.000186 ***
## party_fe22            0.4267216  0.1039676   4.104 4.19e-05 ***
## party_fe23            0.5832813  0.1293074   4.511 6.76e-06 ***
## party_fe24            0.0035095  0.1182125   0.030 0.976319    
## party_fe25           -0.2191210  0.1184357  -1.850 0.064415 .  
## party_fe26           -0.1394272  0.1249413  -1.116 0.264556    
## party_fe27            0.1132415  0.3385971   0.334 0.738074    
## party_fe28            0.3339698  0.2080922   1.605 0.108641    
## party_fe29            0.2589606  0.1196920   2.164 0.030594 *  
## party_fe30            0.2589598  0.1195980   2.165 0.030464 *  
## party_fe31            0.0711607  0.1051755   0.677 0.498730    
## party_fe32            0.1551838  0.1052876   1.474 0.140635    
## party_fe33            0.2234475  0.1578136   1.416 0.156933    
## party_fe34            0.0122764  0.1091288   0.112 0.910440    
## party_fe35           -0.0801093  0.1076780  -0.744 0.456965    
## party_fe36            0.0843772  0.2453583   0.344 0.730956    
## party_fe37            0.3459167  0.1042288   3.319 0.000917 ***
## party_fe38            0.3423828  0.1185173   2.889 0.003900 ** 
## party_fe39            0.1462173  0.2066634   0.708 0.479314    
## party_fe40            0.2885730  0.1870688   1.543 0.123055    
## party_fe41            0.1568281  0.2065292   0.759 0.447715    
## party_fe42            0.1596587  0.1494956   1.068 0.285633    
## party_fe43            0.7807841  0.2091415   3.733 0.000193 ***
## party_fe44            0.3001775  0.1035715   2.898 0.003785 ** 
## party_fe45            0.1497882  0.1029902   1.454 0.145965    
## party_fe46            0.1553077  0.1112369   1.396 0.162783    
## party_fe47            0.0778844  0.1177288   0.662 0.508317    
## party_fe48            0.0520497  0.1294769   0.402 0.687719    
## party_fe49            0.0004925  0.1076609   0.005 0.996350    
## party_fe50            0.1702481  0.1030848   1.652 0.098757 .  
## party_fe51            0.3910606  0.1049076   3.728 0.000198 ***
## party_fe52           -0.1641951  0.2062904  -0.796 0.426143    
## party_fe53            0.2032711  0.1038430   1.957 0.050403 .  
## party_fe54            0.0976753  0.1855708   0.526 0.598692    
## party_fe55            0.5212407  0.1448834   3.598 0.000327 ***
## party_fe56            0.1661568  0.2067735   0.804 0.421723    
## party_fe57            0.4324457  0.1872919   2.309 0.021029 *  
## party_fe58            0.0678238  0.1883609   0.360 0.718823    
## party_fe59           -0.0163909  0.1447990  -0.113 0.909883    
## party_fe60            0.1378418  0.1405511   0.981 0.326825    
## party_fe61            0.0469402  0.1578582   0.297 0.766219    
## party_fe62           -0.3094205  0.1265973  -2.444 0.014590 *  
## party_fe63           -0.2057963  0.3368236  -0.611 0.541262    
## party_fe64           -0.0903969  0.1116405  -0.810 0.418182    
## party_fe65            0.2594059  0.1078590   2.405 0.016244 *  
## party_fe66            0.1533951  0.1073564   1.429 0.153177    
## party_fe67           -0.0587067  0.1224513  -0.479 0.631676    
## party_fe68            0.2087262  0.1891426   1.104 0.269901    
## party_fe69           -0.1693159  0.1113221  -1.521 0.128399    
## party_fe70           -0.1108835  0.1149128  -0.965 0.334671    
## party_fe71            0.2278699  0.3437024   0.663 0.507401    
## party_fe72            0.1399799  0.3436102   0.407 0.683764    
## party_fe73            0.3356442  0.1186169   2.830 0.004698 ** 
## party_fe74            0.3599073  0.1295878   2.777 0.005522 ** 
## party_fe75            0.2675501  0.1123693   2.381 0.017342 *  
## party_fe76            0.1112064  0.1471461   0.756 0.449868    
## party_fe77            0.6306894  0.1194100   5.282 1.39e-07 ***
## party_fe78            0.4232820  0.2484157   1.704 0.088521 .  
## party_fe79            0.1041767  0.1262733   0.825 0.409446    
## party_fe80            0.1355094  0.1856527   0.730 0.465516    
## party_fe81            0.0945688  0.1456334   0.649 0.516165    
## party_fe82           -0.0451536  0.1520343  -0.297 0.766495    
## party_fe83           -0.0844852  0.1223213  -0.691 0.489830    
## party_fe84            0.0500351  0.1598599   0.313 0.754312    
## party_fe85            0.1621655  0.1119416   1.449 0.147560    
## party_fe86            0.0414280  0.3373849   0.123 0.902282    
## party_fe87            0.5944338  0.1200177   4.953 7.81e-07 ***
## party_fe88            0.2135648  0.1243552   1.717 0.086036 .  
## party_fe89            0.5952045  0.1871613   3.180 0.001490 ** 
## party_fe90            0.0500351  0.1598599   0.313 0.754312    
## party_fe91            0.2830998  0.1279310   2.213 0.026995 *  
## party_fe92            0.4985317  0.1288900   3.868 0.000113 ***
## party_fe93            0.3666513  0.1283687   2.856 0.004323 ** 
## party_fe94            0.1355094  0.1856527   0.730 0.465516    
## party_fe95            0.2558883  0.2477845   1.033 0.301843    
## party_fe96            0.3309352  0.1173079   2.821 0.004825 ** 
## party_fe97            0.5939611  0.1871516   3.174 0.001524 ** 
## party_fe98            0.4352904  0.1867550   2.331 0.019844 *  
## party_fe99            0.3074473  0.3389784   0.907 0.364505    
## party_fe100           0.6642999  0.1611276   4.123 3.87e-05 ***
## party_fe101          -0.2067552  0.1872840  -1.104 0.269716    
## party_fe102           0.6912440  0.1303641   5.302 1.24e-07 ***
## party_fe103           0.7224930  0.1616004   4.471 8.14e-06 ***
## party_fe104           0.4352904  0.1867550   2.331 0.019844 *  
## party_fe105           0.4833703  0.1121104   4.312 1.68e-05 ***
## party_fe106           0.3724176  0.1188967   3.132 0.001755 ** 
## party_fe107           0.2508885  0.1403824   1.787 0.074031 .  
## party_fe108          -0.0744051  0.1124146  -0.662 0.508110    
## party_fe109          -0.0971944  0.1165362  -0.834 0.404346    
## party_fe110           0.0735001  0.2138335   0.344 0.731082    
## party_fe111           0.2017540  0.2520402   0.800 0.423508    
## party_fe112           0.0232038  0.1418859   0.164 0.870108    
## party_fe113           0.2298097  0.1128719   2.036 0.041855 *  
## party_fe114           0.1717224  0.1125925   1.525 0.127346    
## party_fe115           0.0049653  0.2481805   0.020 0.984039    
## party_fe116           0.1243767  0.1171943   1.061 0.288664    
## party_fe117          -0.0260076  0.1372750  -0.189 0.849751    
## party_fe118          -0.1276989  0.1162789  -1.098 0.272219    
## party_fe119          -0.0307563  0.2106408  -0.146 0.883923    
## party_fe120           0.2185264  0.1138778   1.919 0.055105 .  
## party_fe121           0.3694598  0.1643913   2.247 0.024700 *  
## party_fe122           0.2157616  0.1261878   1.710 0.087420 .  
## party_fe123           0.3229738  0.1729749   1.867 0.061996 .  
## party_fe124          -0.0604147  0.1299012  -0.465 0.641914    
## party_fe125          -0.0062767  0.1091240  -0.058 0.954136    
## party_fe126          -0.0687597  0.1173023  -0.586 0.557811    
## party_fe127          -0.2410125  0.3389619  -0.711 0.477132    
## party_fe128          -0.1086406  0.1139251  -0.954 0.340373    
## party_fe129           0.2983219  0.1735418   1.719 0.085736 .  
## party_fe130           0.2113021  0.1097447   1.925 0.054295 .  
## party_fe131           0.4535732  0.2116902   2.143 0.032241 *  
## party_fe132           0.1972659  0.1096120   1.800 0.072034 .  
## party_fe133          -0.0210772  0.1110778  -0.190 0.849519    
## party_fe134          -0.1518004  0.1270509  -1.195 0.232280    
## party_fe135          -0.1086428  0.2082511  -0.522 0.601932    
## party_fe136          -0.0365445  0.3382208  -0.108 0.913966    
## party_fe137          -0.0668725  0.1118505  -0.598 0.549979    
## party_fe138           0.2122426  0.1085953   1.954 0.050763 .  
## party_fe139           0.3745674  0.1098386   3.410 0.000660 ***
## party_fe140           0.1064263  0.1190515   0.894 0.371435    
## party_fe141          -0.0009968  0.1678841  -0.006 0.995263    
## party_fe142          -0.1104349  0.1257790  -0.878 0.380025    
## party_fe143           0.2247732  0.1202974   1.868 0.061814 .  
## party_fe144           0.8849976  0.2115670   4.183 2.98e-05 ***
## party_fe145           0.2578332  0.1201889   2.145 0.032032 *  
## party_fe146           0.1458724  0.1834119   0.795 0.426500    
## party_fe147           0.1213807  0.1506148   0.806 0.420378    
## party_fe148          -0.0482088  0.1069387  -0.451 0.652168    
## party_fe149           0.1166418  0.1440828   0.810 0.418279    
## party_fe150           0.1156448  0.1027803   1.125 0.260629    
## party_fe151           0.4600322  0.1052241   4.372 1.28e-05 ***
## party_fe152           0.2081296  0.1280963   1.625 0.104335    
## party_fe153           0.0488403  0.1110785   0.440 0.660199    
## party_fe154          -0.1251676  0.1333174  -0.939 0.347890    
## party_fe155           0.0809213  0.1384484   0.584 0.558946    
## party_fe156          -0.0591961  0.1083234  -0.546 0.584789    
## party_fe157           0.3084898  0.1106299   2.788 0.005336 ** 
## party_fe158           0.2772500  0.1042422   2.660 0.007872 ** 
## party_fe159           0.1118838  0.1038603   1.077 0.281472    
## party_fe160           0.1046245  0.3363904   0.311 0.755811    
## party_fe161           0.0764622  0.3363756   0.227 0.820200    
## party_fe162           0.1740374  0.3364532   0.517 0.605013    
## party_fe163           0.1988587  0.3364847   0.591 0.554582    
## party_fe164           0.0015082  0.2090665   0.007 0.994245    
## party_fe165          -0.2212896  0.1871312  -1.183 0.237107    
## party_fe166           0.3997231  0.1880445   2.126 0.033629 *  
## party_fe167           0.3951618  0.2098326   1.883 0.059788 .  
## party_fe168           0.3820617  0.2097762   1.821 0.068685 .  
## party_fe169           0.1749477  0.1872089   0.935 0.350135    
## party_fe170           0.1223302  0.1842866   0.664 0.506878    
## party_fe171          -0.0310456  0.1581321  -0.196 0.844370    
## party_fe172           0.0985506  0.1592388   0.619 0.536049    
## party_fe173           0.3910342  0.1610495   2.428 0.015252 *  
## party_fe174           0.3142747  0.1844426   1.704 0.088523 .  
## party_fe175           0.3670247  0.3369140   1.089 0.276096    
## party_fe176           0.4952603  0.3373192   1.468 0.142171    
## party_fe177           0.1826515  0.2090460   0.874 0.382346    
## party_fe178           0.1471678  0.1609335   0.914 0.360563    
## party_fe179          -0.0567027  0.1595517  -0.355 0.722330    
## party_fe180           0.4172203  0.1605688   2.598 0.009422 ** 
## party_fe181           0.4097368  0.1603290   2.556 0.010660 *  
## party_fe182           0.5908944  0.2471839   2.391 0.016900 *  
## party_fe183           0.2610998  0.1840661   1.419 0.156168    
## party_fe184           0.1763631  0.1588023   1.111 0.266856    
## party_fe185           0.0552365  0.1838914   0.300 0.763916    
## party_fe186           0.1422729  0.1578777   0.901 0.367592    
## party_fe187           0.4454444  0.1689864   2.636 0.008442 ** 
## party_fe188           0.4990363  0.1688851   2.955 0.003157 ** 
## party_fe189           0.2282439  0.3393617   0.673 0.501285    
## party_fe190           0.2644889  0.3394255   0.779 0.435922    
## party_fe191           0.1438609  0.3392525   0.424 0.671564    
## party_fe192           0.3004326  0.3394986   0.885 0.376281    
## party_fe193           0.3031505  0.3395045   0.893 0.371987    
## party_fe194           0.3373933  0.3395842   0.994 0.320540    
## party_fe195           0.2185047  0.3406655   0.641 0.521319    
## party_fe196           0.3763603  0.1650725   2.280 0.022694 *  
## party_fe197           0.3315441  0.1652431   2.006 0.044922 *  
## party_fe198           0.1027650  0.2504291   0.410 0.681581    
## party_fe199           0.3522868  0.2536347   1.389 0.164972    
## party_fe200           0.2616569  0.2533208   1.033 0.301749    
## party_fe201           0.1235277  0.3362890   0.367 0.713407    
## party_fe202           0.1617277  0.3363224   0.481 0.630651    
## party_fe203          -0.1155433  0.1583708  -0.730 0.465720    
## party_fe204           0.4542582  0.3369528   1.348 0.177738    
## party_fe205           0.4960347  0.1601107   3.098 0.001970 ** 
## party_fe206           0.0905931  0.1585605   0.571 0.567816    
## party_fe207           0.4186446  0.1841911   2.273 0.023119 *  
## party_fe208           0.2786412  0.1582425   1.761 0.078388 .  
## party_fe209           0.1261525  0.1590948   0.793 0.427890    
## party_fe210           0.1828572  0.1592320   1.148 0.250928    
## party_fe211           0.3151724  0.1590983   1.981 0.047703 *  
## party_fe212           0.1142498  0.2460331   0.464 0.642425    
## party_fe213           0.2552500  0.1593576   1.602 0.109341    
## party_fe214           0.1874769  0.1591841   1.178 0.239015    
## party_fe215           0.3965857  0.1602779   2.474 0.013414 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3241 on 2465 degrees of freedom
## Multiple R-squared:  0.8883, Adjusted R-squared:  0.8769 
## F-statistic:  77.8 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb43-1" data-line-number="1"><span class="kw">stargazer</span>(modeld1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:29
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.746$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.454$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.029$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_sd &amp; 0.003$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.040 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.006 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.040 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.101 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.112$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.080 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.109 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.038 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.134$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.129$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.135$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.161$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.131$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.031 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.067 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.056 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.093 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.088 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.161$^{**}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.124$^{*}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.113 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.053 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.058 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.084 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.057 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.038 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.089 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.043 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.019 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.035 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.003 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.017 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.034 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.091 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.122 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.298$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.468$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.141 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.029 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.106 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.161 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.335$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.158 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.144 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.279$^{**}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.063 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.165 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.042 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.411$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.092 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.427$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.583$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.004 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.219$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.139 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.113 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.334 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.259$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.259$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.071 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.155 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.223 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.012 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.080 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.084 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.346$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.342$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.146 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.289 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.157 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.160 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.781$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.300$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.150 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.155 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.078 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.052 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.0005 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.170$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.391$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.164 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.203$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.098 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.521$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.166 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.432$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.068 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.016 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.138 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.047 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.309$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.206 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.090 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.259$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.153 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.059 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.209 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.169 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.111 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.228 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.140 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.111 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.631$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.423$^{*}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.104 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.136 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.095 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.045 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.084 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.050 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.162 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.041 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.594$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.214$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.595$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.050 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.283$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.499$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.367$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.136 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.256 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.594$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.435$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.307 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.664$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.207 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.691$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.722$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.435$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.483$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.372$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.251$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.074 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.097 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.074 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.202 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.023 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.230$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.172 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.005 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.124 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.026 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.128 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.031 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.369$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.323$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.060 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.006 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.069 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.241 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.109 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.298$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.211$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.454$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.021 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.152 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.109 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.037 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.067 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.212$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.375$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.106 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.001 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.110 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.225$^{*}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.885$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.146 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.121 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.048 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.117 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.116 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.208 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.049 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.125 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.081 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.059 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.308$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.277$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.112 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.105 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.076 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.174 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.199 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.002 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.221 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.400$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.395$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.382$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.175 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.122 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.031 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.099 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.391$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.314$^{*}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.367 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.495 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.183 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.147 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.057 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.417$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.410$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.591$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.261 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.176 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.055 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.142 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.445$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.499$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.228 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.264 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.144 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.300 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.303 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.337 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.219 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.376$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.332$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.103 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.352 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.262 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.124 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.162 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.116 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.454 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.496$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.091 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.419$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.279$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.126 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.183 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.315$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.114 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.255 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.187 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.397$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.074 \\ 
##   &amp; (0.818) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.802$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb45"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb45-1" data-line-number="1"><span class="co"># Model D2 in Table S3</span></a>
<a class="sourceLine" id="cb45-2" data-line-number="2"></a>
<a class="sourceLine" id="cb45-3" data-line-number="3">modeld2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_epp + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb45-4" data-line-number="4"></a>
<a class="sourceLine" id="cb45-5" data-line-number="5">modeld2 &lt;-<span class="st"> </span><span class="kw">lm</span>(modeld2, <span class="dt">data =</span> dataframe_epp)</a>
<a class="sourceLine" id="cb45-6" data-line-number="6"><span class="kw">summary</span>(modeld2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modeld2, data = dataframe_epp)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93597 -0.09808 -0.00085  0.10741  2.08533 
## 
## Coefficients:
##                         Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)           -1.0213909  0.8196406  -1.246 0.212830    
## lag_rile               0.7515888  0.0128946  58.287  &lt; 2e-16 ***
## lag_cmedian            0.4377856  0.1579642   2.771 0.005623 ** 
## lag_econ_glob          0.0276281  0.0112532   2.455 0.014152 *  
## interaction           -0.0057997  0.0021129  -2.745 0.006098 ** 
## spsamegroup_ruled_epp  0.0011061  0.0012967   0.853 0.393721    
## year_fe2               0.0411344  0.0674542   0.610 0.542042    
## year_fe3               0.0176869  0.0667636   0.265 0.791095    
## year_fe4               0.0539942  0.0671258   0.804 0.421259    
## year_fe5               0.1102727  0.0672505   1.640 0.101189    
## year_fe6               0.1212430  0.0672640   1.802 0.071590 .  
## year_fe7               0.0891862  0.0674890   1.321 0.186460    
## year_fe8               0.1153812  0.0666271   1.732 0.083444 .  
## year_fe9               0.0443613  0.0672058   0.660 0.509263    
## year_fe10              0.1419152  0.0650089   2.183 0.029129 *  
## year_fe11              0.1370399  0.0647276   2.117 0.034345 *  
## year_fe12              0.1430418  0.0644879   2.218 0.026637 *  
## year_fe13              0.1724675  0.0653134   2.641 0.008328 ** 
## year_fe14              0.1379973  0.0668571   2.064 0.039116 *  
## year_fe15             -0.0182990  0.0676861  -0.270 0.786913    
## year_fe16              0.0840277  0.0689313   1.219 0.222958    
## year_fe17              0.0732347  0.0691192   1.060 0.289457    
## year_fe18              0.1098026  0.0711373   1.544 0.122830    
## year_fe19              0.1101705  0.0726018   1.517 0.129278    
## year_fe20              0.1803396  0.0712683   2.530 0.011454 *  
## year_fe21              0.1436173  0.0732414   1.961 0.050006 .  
## year_fe22              0.1373266  0.0764571   1.796 0.072597 .  
## year_fe23              0.0936381  0.0787076   1.190 0.234281    
## year_fe24              0.0979897  0.0793444   1.235 0.216951    
## year_fe25              0.1287393  0.0842363   1.528 0.126563    
## year_fe26              0.1047826  0.0825411   1.269 0.204397    
## year_fe27              0.0752763  0.0803578   0.937 0.348972    
## year_fe28              0.1235433  0.0803175   1.538 0.124131    
## year_fe29              0.0737609  0.0807751   0.913 0.361246    
## year_fe30              0.0463134  0.0777866   0.595 0.551637    
## year_fe31              0.0631390  0.0798887   0.790 0.429407    
## year_fe32              0.0362450  0.0814950   0.445 0.656539    
## year_fe33              0.0613169  0.0789137   0.777 0.437226    
## year_fe34              0.0752721  0.0781601   0.963 0.335617    
## party_fe2             -0.0877535  0.1188228  -0.739 0.460266    
## party_fe3             -0.0093028  0.1188507  -0.078 0.937618    
## party_fe4              0.3023785  0.1201059   2.518 0.011879 *  
## party_fe5              0.2920918  0.1196183   2.442 0.014681 *  
## party_fe6              0.4563170  0.1221147   3.737 0.000191 ***
## party_fe7             -0.1273606  0.1440626  -0.884 0.376748    
## party_fe8             -0.0166914  0.1438717  -0.116 0.907650    
## party_fe9              0.1155075  0.1437175   0.804 0.421641    
## party_fe10             0.1697197  0.1437436   1.181 0.237831    
## party_fe11             0.3397228  0.1443643   2.353 0.018689 *  
## party_fe12             0.1505606  0.2065674   0.729 0.466151    
## party_fe13            -0.1203168  0.1348751  -0.892 0.372447    
## party_fe14            -0.2525882  0.1315009  -1.921 0.054871 .  
## party_fe15            -0.0603372  0.1174016  -0.514 0.607341    
## party_fe16            -0.1509837  0.1015912  -1.486 0.137357    
## party_fe17             0.0598242  0.1014143   0.590 0.555313    
## party_fe18             0.4186778  0.1095295   3.823 0.000135 ***
## party_fe19             0.1008488  0.1016239   0.992 0.321113    
## party_fe20             0.4869284  0.1048108   4.646 3.57e-06 ***
## party_fe21             0.4003347  0.1060799   3.774 0.000165 ***
## party_fe22             0.4223649  0.1045210   4.041 5.49e-05 ***
## party_fe23             0.5700240  0.1295405   4.400 1.13e-05 ***
## party_fe24             0.0040743  0.1184666   0.034 0.972567    
## party_fe25            -0.2150676  0.1186857  -1.812 0.070096 .  
## party_fe26            -0.0033828  0.1184983  -0.029 0.977228    
## party_fe27             0.1257961  0.3393536   0.371 0.710898    
## party_fe28             0.3372367  0.2085733   1.617 0.106033    
## party_fe29             0.2484083  0.1200177   2.070 0.038578 *  
## party_fe30             0.2447286  0.1201861   2.036 0.041832 *  
## party_fe31             0.0806856  0.1053604   0.766 0.443865    
## party_fe32             0.1640253  0.1054783   1.555 0.120060    
## party_fe33             0.2232582  0.1581550   1.412 0.158182    
## party_fe34             0.1067332  0.1056356   1.010 0.312408    
## party_fe35             0.0205924  0.1036021   0.199 0.842463    
## party_fe36             0.0800920  0.2458813   0.326 0.744653    
## party_fe37             0.3527336  0.1044323   3.378 0.000742 ***
## party_fe38             0.3598886  0.1186500   3.033 0.002445 ** 
## party_fe39             0.1564027  0.2071287   0.755 0.450262    
## party_fe40             0.3090609  0.1873695   1.649 0.099178 .  
## party_fe41             0.1459659  0.2069628   0.705 0.480705    
## party_fe42             0.1618778  0.1498149   1.081 0.280017    
## party_fe43             0.7633172  0.2095218   3.643 0.000275 ***
## party_fe44             0.3045050  0.1039232   2.930 0.003420 ** 
## party_fe45             0.1504387  0.1039158   1.448 0.147829    
## party_fe46             0.1592041  0.1114702   1.428 0.153355    
## party_fe47             0.0786076  0.1179811   0.666 0.505299    
## party_fe48             0.0780823  0.1295076   0.603 0.546620    
## party_fe49             0.1065712  0.1030954   1.034 0.301371    
## party_fe50             0.1812555  0.1032501   1.755 0.079298 .  
## party_fe51             0.3961585  0.1051227   3.769 0.000168 ***
## party_fe52            -0.1659726  0.2067415  -0.803 0.422167    
## party_fe53             0.2042679  0.1045300   1.954 0.050796 .  
## party_fe54             0.1211489  0.1858310   0.652 0.514507    
## party_fe55             0.5129807  0.1451806   3.533 0.000418 ***
## party_fe56             0.1613278  0.2072244   0.779 0.436339    
## party_fe57             0.4168206  0.1876361   2.221 0.026412 *  
## party_fe58             0.0897484  0.1886480   0.476 0.634298    
## party_fe59             0.0106047  0.1448721   0.073 0.941652    
## party_fe60             0.1402186  0.1408525   0.995 0.319591    
## party_fe61             0.0500312  0.1581938   0.316 0.751828    
## party_fe62            -0.2750514  0.1264279  -2.176 0.029683 *  
## party_fe63            -0.2062985  0.3375499  -0.611 0.541147    
## party_fe64             0.0159754  0.1072291   0.149 0.881579    
## party_fe65             0.2704490  0.1080369   2.503 0.012368 *  
## party_fe66             0.1564511  0.1082867   1.445 0.148645    
## party_fe67            -0.0643368  0.1227025  -0.524 0.600095    
## party_fe68             0.1922093  0.1894847   1.014 0.310502    
## party_fe69            -0.1638756  0.1115485  -1.469 0.141934    
## party_fe70            -0.0115262  0.1112728  -0.104 0.917507    
## party_fe71             0.2419155  0.3444140   0.702 0.482498    
## party_fe72             0.1558413  0.3443135   0.453 0.650866    
## party_fe73             0.3347420  0.1188719   2.816 0.004901 ** 
## party_fe74             0.3643795  0.1298660   2.806 0.005058 ** 
## party_fe75             0.2630249  0.1126035   2.336 0.019579 *  
## party_fe76             0.1019419  0.1474378   0.691 0.489365    
## party_fe77             0.6158904  0.1195836   5.150 2.81e-07 ***
## party_fe78             0.4025044  0.2488680   1.617 0.105933    
## party_fe79             0.1058376  0.1265483   0.836 0.403044    
## party_fe80             0.1246527  0.1860353   0.670 0.502890    
## party_fe81             0.1035278  0.1459262   0.709 0.478110    
## party_fe82            -0.0327640  0.1523128  -0.215 0.829700    
## party_fe83            -0.0840163  0.1225858  -0.685 0.493176    
## party_fe84             0.0426024  0.1601997   0.266 0.790313    
## party_fe85             0.1636090  0.1121815   1.458 0.144849    
## party_fe86             0.0417736  0.3381114   0.124 0.901682    
## party_fe87             0.5899068  0.1202704   4.905 9.96e-07 ***
## party_fe88             0.2433008  0.1242933   1.957 0.050405 .  
## party_fe89             0.5807023  0.1875095   3.097 0.001977 ** 
## party_fe90             0.0426024  0.1601997   0.266 0.790313    
## party_fe91             0.2881244  0.1282012   2.247 0.024700 *  
## party_fe92             0.5004048  0.1291737   3.874 0.000110 ***
## party_fe93             0.3700466  0.1286466   2.876 0.004056 ** 
## party_fe94             0.1246527  0.1860353   0.670 0.502890    
## party_fe95             0.2385690  0.2482622   0.961 0.336668    
## party_fe96             0.3176159  0.1188834   2.672 0.007597 ** 
## party_fe97             0.5794846  0.1875000   3.091 0.002020 ** 
## party_fe98             0.4182402  0.1871058   2.235 0.025486 *  
## party_fe99             0.3050073  0.3397276   0.898 0.369380    
## party_fe100            0.6549557  0.1614524   4.057 5.13e-05 ***
## party_fe101           -0.2225075  0.1876245  -1.186 0.235768    
## party_fe102            0.6744755  0.1305491   5.166 2.58e-07 ***
## party_fe103            0.7073089  0.1619053   4.369 1.30e-05 ***
## party_fe104            0.4182402  0.1871058   2.235 0.025486 *  
## party_fe105            0.4792579  0.1123486   4.266 2.07e-05 ***
## party_fe106            0.3610682  0.1191008   3.032 0.002458 ** 
## party_fe107            0.2417476  0.1406608   1.719 0.085803 .  
## party_fe108           -0.0725992  0.1126553  -0.644 0.519352    
## party_fe109            0.0086282  0.1124685   0.077 0.938855    
## party_fe110            0.0792345  0.2142902   0.370 0.711598    
## party_fe111            0.2077637  0.2525772   0.823 0.410829    
## party_fe112            0.0061109  0.1447734   0.042 0.966334    
## party_fe113            0.2080862  0.1146316   1.815 0.069605 .  
## party_fe114            0.1672439  0.1128256   1.482 0.138383    
## party_fe115            0.0065839  0.2487152   0.026 0.978883    
## party_fe116            0.1264478  0.1174439   1.077 0.281735    
## party_fe117           -0.0290598  0.1375661  -0.211 0.832715    
## party_fe118           -0.0348349  0.1131831  -0.308 0.758280    
## party_fe119           -0.0321375  0.2111034  -0.152 0.879013    
## party_fe120            0.2172312  0.1141224   1.903 0.057093 .  
## party_fe121            0.3660002  0.1647693   2.221 0.026422 *  
## party_fe122            0.2145440  0.1264636   1.696 0.089920 .  
## party_fe123            0.3360046  0.1733010   1.939 0.052634 .  
## party_fe124           -0.0643964  0.1301781  -0.495 0.620871    
## party_fe125           -0.0045943  0.1093571  -0.042 0.966493    
## party_fe126           -0.0673946  0.1175545  -0.573 0.566491    
## party_fe127           -0.2188201  0.3396204  -0.644 0.519436    
## party_fe128            0.0020332  0.1093172   0.019 0.985163    
## party_fe129            0.3081513  0.1738911   1.772 0.076502 .  
## party_fe130            0.1991414  0.1106309   1.800 0.071975 .  
## party_fe131            0.4598084  0.2121386   2.167 0.030293 *  
## party_fe132            0.1958972  0.1098462   1.783 0.074648 .  
## party_fe133           -0.0180061  0.1113127  -0.162 0.871507    
## party_fe134           -0.1498562  0.1273293  -1.177 0.239342    
## party_fe135           -0.1067238  0.2087002  -0.511 0.609135    
## party_fe136           -0.0495608  0.3389239  -0.146 0.883752    
## party_fe137            0.0289082  0.1083705   0.267 0.789682    
## party_fe138            0.2135523  0.1088281   1.962 0.049841 *  
## party_fe139            0.3641428  0.1105206   3.295 0.000999 ***
## party_fe140            0.1010188  0.1192960   0.847 0.397194    
## party_fe141           -0.0045169  0.1682406  -0.027 0.978583    
## party_fe142            0.0276783  0.1191401   0.232 0.816311    
## party_fe143            0.2151929  0.1205227   1.785 0.074304 .  
## party_fe144            0.8743181  0.2120106   4.124 3.85e-05 ***
## party_fe145            0.2380243  0.1210599   1.966 0.049391 *  
## party_fe146            0.1390482  0.1837932   0.757 0.449393    
## party_fe147            0.1109761  0.1509123   0.735 0.462185    
## party_fe148            0.0529844  0.1027985   0.515 0.606306    
## party_fe149            0.1359961  0.1442687   0.943 0.345948    
## party_fe150            0.1222863  0.1029804   1.187 0.235156    
## party_fe151            0.4519487  0.1059074   4.267 2.05e-05 ***
## party_fe152            0.2032011  0.1283633   1.583 0.113546    
## party_fe153            0.0549668  0.1113031   0.494 0.621458    
## party_fe154           -0.0962231  0.1333062  -0.722 0.470473    
## party_fe155            0.0893336  0.1387400   0.644 0.519705    
## party_fe156            0.0505678  0.1034462   0.489 0.625004    
## party_fe157            0.3106821  0.1108650   2.802 0.005113 ** 
## party_fe158            0.2850837  0.1044676   2.729 0.006399 ** 
## party_fe159            0.1229011  0.1040276   1.181 0.237547    
## party_fe160            0.1068195  0.3371145   0.317 0.751374    
## party_fe161            0.0792390  0.3370990   0.235 0.814180    
## party_fe162            0.1747983  0.3371787   0.518 0.604216    
## party_fe163            0.1991067  0.3372107   0.590 0.554942    
## party_fe164            0.0001291  0.2095193   0.001 0.999508    
## party_fe165           -0.2244972  0.1875369  -1.197 0.231389    
## party_fe166            0.3895318  0.1884365   2.067 0.038822 *  
## party_fe167            0.3856498  0.2102749   1.834 0.066771 .  
## party_fe168            0.3728203  0.2102192   1.773 0.076272 .  
## party_fe169            0.1700186  0.1876130   0.906 0.364908    
## party_fe170            0.1156733  0.1846704   0.626 0.531126    
## party_fe171           -0.0314494  0.1584713  -0.198 0.842705    
## party_fe172            0.1565218  0.1586351   0.987 0.323897    
## party_fe173            0.3795871  0.1613626   2.352 0.018732 *  
## party_fe174            0.2936523  0.1854310   1.584 0.113409    
## party_fe175            0.3634915  0.3376413   1.077 0.281782    
## party_fe176            0.4890777  0.3380456   1.447 0.148086    
## party_fe177            0.1769503  0.2094879   0.845 0.398371    
## party_fe178            0.2077963  0.1602523   1.297 0.194862    
## party_fe179           -0.0571003  0.1598941  -0.357 0.721038    
## party_fe180            0.4121821  0.1609079   2.562 0.010478 *  
## party_fe181            0.4055214  0.1606694   2.524 0.011667 *  
## party_fe182            0.5866276  0.2477216   2.368 0.017957 *  
## party_fe183            0.2571263  0.1844567   1.394 0.163454    
## party_fe184            0.2295597  0.1583415   1.450 0.147248    
## party_fe185            0.0531863  0.1842847   0.289 0.772905    
## party_fe186            0.1390794  0.1582144   0.879 0.379456    
## party_fe187            0.4409032  0.1693472   2.604 0.009282 ** 
## party_fe188            0.4948955  0.1692463   2.924 0.003486 ** 
## party_fe189            0.2262627  0.3400934   0.665 0.505924    
## party_fe190            0.2617589  0.3401572   0.770 0.441656    
## party_fe191            0.1436231  0.3399835   0.422 0.672740    
## party_fe192            0.2969600  0.3402303   0.873 0.382846    
## party_fe193            0.2996217  0.3402362   0.881 0.378605    
## party_fe194            0.3331571  0.3403157   0.979 0.327693    
## party_fe195            0.2164154  0.3413987   0.634 0.526200    
## party_fe196            0.3571184  0.1658893   2.153 0.031435 *  
## party_fe197            0.3221687  0.1655743   1.946 0.051796 .  
## party_fe198            0.0956479  0.2509654   0.381 0.703147    
## party_fe199            0.3328761  0.2541112   1.310 0.190331    
## party_fe200            0.2441186  0.2538105   0.962 0.336237    
## party_fe201            0.1233159  0.3370145   0.366 0.714466    
## party_fe202            0.1607267  0.3370483   0.477 0.633500    
## party_fe203           -0.0587134  0.1577976  -0.372 0.709865    
## party_fe204            0.4472135  0.3376772   1.324 0.185499    
## party_fe205            0.4746690  0.1607262   2.953 0.003174 ** 
## party_fe206            0.0732875  0.1591914   0.460 0.645289    
## party_fe207            0.4077959  0.1845564   2.210 0.027225 *  
## party_fe208            0.2706025  0.1585656   1.707 0.088029 .  
## party_fe209            0.1196267  0.1594246   0.750 0.453106    
## party_fe210            0.1753561  0.1595585   1.099 0.271872    
## party_fe211            0.3086184  0.1594280   1.936 0.053008 .  
## party_fe212            0.0998583  0.2465260   0.405 0.685467    
## party_fe213            0.2470240  0.1596813   1.547 0.121996    
## party_fe214            0.1802885  0.1595117   1.130 0.258480    
## party_fe215            0.3847563  0.1605848   2.396 0.016651 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.43 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb47-1" data-line-number="1"><span class="kw">stargazer</span>(modeld2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:30
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.752$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.438$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.028$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_epp &amp; 0.001 \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.018 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.054 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.110 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.121$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.089 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.115$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.044 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.172$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.018 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.084 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.073 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.110 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.110 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.180$^{**}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.144$^{*}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.137$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.094 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.098 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.129 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.105 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.075 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.124 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.074 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.046 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.063 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.036 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.061 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.075 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.302$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.456$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.127 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.017 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.116 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.170 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.340$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.151 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.120 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.253$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.060 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.151 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.060 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.101 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.487$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.422$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.570$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.004 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.215$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.003 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.126 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.337 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.081 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.164 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.223 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.107 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.021 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.080 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.353$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.156 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.146 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.763$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.305$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.150 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.159 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.079 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.078 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.107 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.166 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.204$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.121 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.513$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.161 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.090 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.011 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.140 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.050 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.275$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.206 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.016 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.270$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.156 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.064 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.192 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.012 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.242 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.156 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.335$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.364$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.263$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.102 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.616$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.403 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.106 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.125 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.104 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.033 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.084 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.043 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.042 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.243$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.581$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.043 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.288$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.500$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.370$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.125 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.239 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.318$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.579$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.418$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.305 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.655$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.223 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.674$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.707$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.418$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.479$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.361$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.242$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.009 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.079 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.208 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.006 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.167 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.007 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.126 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.029 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.035 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.032 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.217$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.366$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.336$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.064 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.067 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.219 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.002 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.308$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.199$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.460$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.196$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.150 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.107 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.050 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.029 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.364$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.005 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.028 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.874$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.238$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.139 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.111 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.053 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.136 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.122 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.452$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.203 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.055 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.096 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.089 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.311$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.285$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.123 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.107 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.079 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.175 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.199 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.0001 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.224 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.386$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.373$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.170 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.116 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.031 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.157 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.380$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.294 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.363 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.489 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.177 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.208 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.057 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.412$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.587$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.257 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.230 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.053 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.441$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.226 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.262 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.144 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.297 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.300 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.333 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.216 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.357$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.322$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.096 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.333 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.244 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.123 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.161 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.059 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.447 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.475$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.073 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.408$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.271$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.120 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.175 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.100 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.247 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.180 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.385$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.021 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.428$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb49"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb49-1" data-line-number="1"><span class="co"># Model D3 in Table S3</span></a>
<a class="sourceLine" id="cb49-2" data-line-number="2"></a>
<a class="sourceLine" id="cb49-3" data-line-number="3">modeld3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_lib + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb49-4" data-line-number="4"></a>
<a class="sourceLine" id="cb49-5" data-line-number="5">modeld3 &lt;-<span class="st"> </span><span class="kw">lm</span>(modeld3, <span class="dt">data =</span> dataframe_alde)</a>
<a class="sourceLine" id="cb49-6" data-line-number="6"><span class="kw">summary</span>(modeld3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modeld3, data = dataframe_alde)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93555 -0.09654 -0.00154  0.10599  2.08630 
## 
## Coefficients:
##                         Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)           -1.0159861  0.8203779  -1.238 0.215672    
## lag_rile               0.7515878  0.0129199  58.173  &lt; 2e-16 ***
## lag_cmedian            0.4367465  0.1580875   2.763 0.005775 ** 
## lag_econ_glob          0.0274905  0.0112752   2.438 0.014833 *  
## interaction           -0.0057828  0.0021153  -2.734 0.006307 ** 
## spsamegroup_ruled_lib -0.0002738  0.0016553  -0.165 0.868623    
## year_fe2               0.0410143  0.0674636   0.608 0.543278    
## year_fe3               0.0180231  0.0668097   0.270 0.787362    
## year_fe4               0.0544976  0.0672066   0.811 0.417503    
## year_fe5               0.1109166  0.0673309   1.647 0.099616 .  
## year_fe6               0.1219412  0.0673230   1.811 0.070218 .  
## year_fe7               0.0897872  0.0675254   1.330 0.183746    
## year_fe8               0.1162385  0.0666617   1.744 0.081335 .  
## year_fe9               0.0454998  0.0672971   0.676 0.499038    
## year_fe10              0.1426009  0.0651021   2.190 0.028587 *  
## year_fe11              0.1383835  0.0649029   2.132 0.033092 *  
## year_fe12              0.1444032  0.0646371   2.234 0.025569 *  
## year_fe13              0.1742211  0.0653900   2.664 0.007764 ** 
## year_fe14              0.1399891  0.0669708   2.090 0.036693 *  
## year_fe15             -0.0150341  0.0678634  -0.222 0.824695    
## year_fe16              0.0879250  0.0691076   1.272 0.203390    
## year_fe17              0.0772412  0.0693020   1.115 0.265148    
## year_fe18              0.1179346  0.0710515   1.660 0.097072 .  
## year_fe19              0.1173169  0.0724815   1.619 0.105666    
## year_fe20              0.1876557  0.0712603   2.633 0.008507 ** 
## year_fe21              0.1508955  0.0732683   2.059 0.039552 *  
## year_fe22              0.1445842  0.0767441   1.884 0.059686 .  
## year_fe23              0.0961807  0.0790753   1.216 0.223981    
## year_fe24              0.1004853  0.0797236   1.260 0.207637    
## year_fe25              0.1313835  0.0846470   1.552 0.120759    
## year_fe26              0.1075142  0.0830634   1.294 0.195661    
## year_fe27              0.0779293  0.0808305   0.964 0.335087    
## year_fe28              0.1265890  0.0809891   1.563 0.118172    
## year_fe29              0.0767371  0.0815082   0.941 0.346559    
## year_fe30              0.0494615  0.0786380   0.629 0.529422    
## year_fe31              0.0664020  0.0809042   0.821 0.411869    
## year_fe32              0.0395815  0.0825279   0.480 0.631545    
## year_fe33              0.0695475  0.0800621   0.869 0.385112    
## year_fe34              0.0818076  0.0792987   1.032 0.302343    
## party_fe2             -0.0877540  0.1188405  -0.738 0.460331    
## party_fe3             -0.0093022  0.1188685  -0.078 0.937631    
## party_fe4              0.3080283  0.1245664   2.473 0.013473 *  
## party_fe5              0.2920930  0.1196390   2.441 0.014698 *  
## party_fe6              0.4563191  0.1221447   3.736 0.000191 ***
## party_fe7             -0.1285551  0.1440779  -0.892 0.372340    
## party_fe8             -0.0178857  0.1438861  -0.124 0.901085    
## party_fe9              0.1143138  0.1437308   0.795 0.426497    
## party_fe10             0.1685261  0.1437570   1.172 0.241190    
## party_fe11             0.3385300  0.1443794   2.345 0.019120 *  
## party_fe12             0.1488088  0.2066448   0.720 0.471520    
## party_fe13            -0.1174002  0.1349525  -0.870 0.384419    
## party_fe14            -0.2497315  0.1315909  -1.898 0.057841 .  
## party_fe15            -0.0606315  0.1174180  -0.516 0.605640    
## party_fe16            -0.1501429  0.1016267  -1.477 0.139697    
## party_fe17             0.0606656  0.1014380   0.598 0.549857    
## party_fe18             0.4196892  0.1095514   3.831 0.000131 ***
## party_fe19             0.1035788  0.1024257   1.011 0.311992    
## party_fe20             0.4916678  0.1074536   4.576 4.98e-06 ***
## party_fe21             0.4014301  0.1060945   3.784 0.000158 ***
## party_fe22             0.4295251  0.1042023   4.122 3.88e-05 ***
## party_fe23             0.5706787  0.1295811   4.404 1.11e-05 ***
## party_fe24             0.0035198  0.1184905   0.030 0.976304    
## party_fe25            -0.2156227  0.1187045  -1.816 0.069420 .  
## party_fe26            -0.0039372  0.1185236  -0.033 0.973503    
## party_fe27             0.1212557  0.3393636   0.357 0.720896    
## party_fe28             0.3337445  0.2085727   1.600 0.109697    
## party_fe29             0.2518718  0.1199739   2.099 0.035884 *  
## party_fe30             0.2521169  0.1198801   2.103 0.035560 *  
## party_fe31             0.0816002  0.1054095   0.774 0.438930    
## party_fe32             0.1649401  0.1055246   1.563 0.118170    
## party_fe33             0.2239485  0.1581774   1.416 0.156959    
## party_fe34             0.1079646  0.1057228   1.021 0.307258    
## party_fe35             0.0217310  0.1036615   0.210 0.833970    
## party_fe36             0.0789714  0.2459281   0.321 0.748150    
## party_fe37             0.3587541  0.1089347   3.293 0.001004 ** 
## party_fe38             0.3622461  0.1187277   3.051 0.002305 ** 
## party_fe39             0.1535947  0.2071355   0.742 0.458450    
## party_fe40             0.3126889  0.1874474   1.668 0.095415 .  
## party_fe41             0.1480957  0.2070033   0.715 0.474413    
## party_fe42             0.1622035  0.1498369   1.083 0.279121    
## party_fe43             0.7619530  0.2095971   3.635 0.000283 ***
## party_fe44             0.3099736  0.1038055   2.986 0.002853 ** 
## party_fe45             0.1616362  0.1032136   1.566 0.117469    
## party_fe46             0.1593235  0.1115018   1.429 0.153164    
## party_fe47             0.0787378  0.1180061   0.667 0.504684    
## party_fe48             0.0814576  0.1296650   0.628 0.529921    
## party_fe49             0.1079094  0.1031738   1.046 0.295710    
## party_fe50             0.1863377  0.1065140   1.749 0.080343 .  
## party_fe51             0.4000951  0.1067123   3.749 0.000181 ***
## party_fe52            -0.1641923  0.2067639  -0.794 0.427211    
## party_fe53             0.2135487  0.1040886   2.052 0.040313 *  
## party_fe54             0.1247140  0.1859343   0.671 0.502448    
## party_fe55             0.5135215  0.1452095   3.536 0.000413 ***
## party_fe56             0.1631087  0.2072446   0.787 0.431337    
## party_fe57             0.4161684  0.1877099   2.217 0.026708 *  
## party_fe58             0.0911717  0.1887720   0.483 0.629158    
## party_fe59             0.0130603  0.1450395   0.090 0.928258    
## party_fe60             0.1404655  0.1409414   0.997 0.319045    
## party_fe61             0.0501788  0.1582197   0.317 0.751160    
## party_fe62            -0.2718662  0.1267112  -2.146 0.032006 *  
## party_fe63            -0.2081028  0.3375973  -0.616 0.537672    
## party_fe64             0.0176174  0.1073580   0.164 0.869666    
## party_fe65             0.2766474  0.1126123   2.457 0.014093 *  
## party_fe66             0.1682884  0.1076150   1.564 0.117993    
## party_fe67            -0.0655458  0.1227387  -0.534 0.593371    
## party_fe68             0.1920055  0.1895188   1.013 0.311102    
## party_fe69            -0.1638114  0.1115654  -1.468 0.142150    
## party_fe70            -0.0114616  0.1112916  -0.103 0.917982    
## party_fe71             0.2441126  0.3444580   0.709 0.478586    
## party_fe72             0.1580381  0.3443591   0.459 0.646322    
## party_fe73             0.3349373  0.1188926   2.817 0.004884 ** 
## party_fe74             0.3658488  0.1298727   2.817 0.004886 ** 
## party_fe75             0.2646944  0.1129358   2.344 0.019169 *  
## party_fe76             0.1015031  0.1475261   0.688 0.491496    
## party_fe77             0.6151616  0.1196597   5.141 2.95e-07 ***
## party_fe78             0.3988316  0.2490234   1.602 0.109376    
## party_fe79             0.1048316  0.1265631   0.828 0.407584    
## party_fe80             0.1256671  0.1860641   0.675 0.499487    
## party_fe81             0.1055339  0.1459338   0.723 0.469648    
## party_fe82            -0.0315184  0.1523296  -0.207 0.836098    
## party_fe83            -0.0847069  0.1226015  -0.691 0.489686    
## party_fe84             0.0435111  0.1602335   0.272 0.785992    
## party_fe85             0.1640291  0.1121963   1.462 0.143873    
## party_fe86             0.0423720  0.3381838   0.125 0.900302    
## party_fe87             0.5901915  0.1202927   4.906 9.89e-07 ***
## party_fe88             0.2440840  0.1243078   1.964 0.049695 *  
## party_fe89             0.5796147  0.1875424   3.091 0.002020 ** 
## party_fe90             0.0435111  0.1602335   0.272 0.785992    
## party_fe91             0.2894872  0.1282094   2.258 0.024037 *  
## party_fe92             0.5017681  0.1291820   3.884 0.000105 ***
## party_fe93             0.3714097  0.1286546   2.887 0.003925 ** 
## party_fe94             0.1256671  0.1860641   0.675 0.499487    
## party_fe95             0.2348956  0.2483999   0.946 0.344427    
## party_fe96             0.3326565  0.1175754   2.829 0.004703 ** 
## party_fe97             0.5783970  0.1875328   3.084 0.002063 ** 
## party_fe98             0.4192557  0.1871445   2.240 0.025162 *  
## party_fe99             0.3013590  0.3397486   0.887 0.375162    
## party_fe100            0.6530012  0.1614665   4.044 5.41e-05 ***
## party_fe101           -0.2240667  0.1877844  -1.193 0.232901    
## party_fe102            0.6740965  0.1305988   5.162 2.64e-07 ***
## party_fe103            0.7082190  0.1619588   4.373 1.28e-05 ***
## party_fe104            0.4192557  0.1871445   2.240 0.025162 *  
## party_fe105            0.4796968  0.1123689   4.269 2.04e-05 ***
## party_fe106            0.3611566  0.1191658   3.031 0.002465 ** 
## party_fe107            0.2415935  0.1407325   1.717 0.086162 .  
## party_fe108           -0.0728726  0.1126709  -0.647 0.517838    
## party_fe109            0.0083553  0.1124844   0.074 0.940794    
## party_fe110            0.0808303  0.2143129   0.377 0.706087    
## party_fe111            0.2091397  0.2526092   0.828 0.407797    
## party_fe112            0.0294455  0.1421988   0.207 0.835970    
## party_fe113            0.2238514  0.1131211   1.979 0.047942 *  
## party_fe114            0.1719139  0.1165275   1.475 0.140258    
## party_fe115            0.0071644  0.2487757   0.029 0.977028    
## party_fe116            0.1265609  0.1174626   1.077 0.281381    
## party_fe117           -0.0294333  0.1375928  -0.214 0.830631    
## party_fe118           -0.0347313  0.1131998  -0.307 0.759011    
## party_fe119           -0.0344320  0.2111258  -0.163 0.870463    
## party_fe120            0.2173362  0.1141486   1.904 0.057030 .  
## party_fe121            0.3626652  0.1647713   2.201 0.027827 *  
## party_fe122            0.2152492  0.1264877   1.702 0.088930 .  
## party_fe123            0.3377202  0.1733175   1.949 0.051461 .  
## party_fe124           -0.0639325  0.1301990  -0.491 0.623444    
## party_fe125           -0.0048171  0.1093739  -0.044 0.964874    
## party_fe126           -0.0678582  0.1175703  -0.577 0.563876    
## party_fe127           -0.2162847  0.3396730  -0.637 0.524351    
## party_fe128            0.0018102  0.1093334   0.017 0.986792    
## party_fe129            0.3098674  0.1739051   1.782 0.074902 .  
## party_fe130            0.2101285  0.1100883   1.909 0.056413 .  
## party_fe131            0.4612336  0.2121619   2.174 0.029802 *  
## party_fe132            0.1956749  0.1098663   1.781 0.075031 .  
## party_fe133           -0.0183063  0.1113321  -0.164 0.869406    
## party_fe134           -0.1509711  0.1273413  -1.186 0.235909    
## party_fe135           -0.1061132  0.2087536  -0.508 0.611276    
## party_fe136           -0.0524537  0.3390249  -0.155 0.877055    
## party_fe137            0.0291831  0.1083859   0.269 0.787759    
## party_fe138            0.2175306  0.1109345   1.961 0.050004 .  
## party_fe139            0.3723729  0.1100986   3.382 0.000730 ***
## party_fe140            0.1008900  0.1193173   0.846 0.397880    
## party_fe141           -0.0048843  0.1682729  -0.029 0.976846    
## party_fe142            0.0275493  0.1191602   0.231 0.817182    
## party_fe143            0.2150648  0.1205509   1.784 0.074544 .  
## party_fe144            0.8709056  0.2120263   4.108 4.13e-05 ***
## party_fe145            0.2483986  0.1204434   2.062 0.039277 *  
## party_fe146            0.1380805  0.1838596   0.751 0.452718    
## party_fe147            0.1116279  0.1509318   0.740 0.459618    
## party_fe148            0.0536304  0.1028164   0.522 0.601986    
## party_fe149            0.1380249  0.1443047   0.956 0.338923    
## party_fe150            0.1229327  0.1029954   1.194 0.232759    
## party_fe151            0.4602753  0.1054653   4.364 1.33e-05 ***
## party_fe152            0.2023048  0.1283778   1.576 0.115188    
## party_fe153            0.0549828  0.1113278   0.494 0.621433    
## party_fe154           -0.0938311  0.1334046  -0.703 0.481899    
## party_fe155            0.0884390  0.1387887   0.637 0.524040    
## party_fe156            0.0517835  0.1034988   0.500 0.616888    
## party_fe157            0.3149403  0.1137075   2.770 0.005652 ** 
## party_fe158            0.2881904  0.1044564   2.759 0.005841 ** 
## party_fe159            0.1246134  0.1041782   1.196 0.231751    
## party_fe160            0.1080711  0.3371614   0.321 0.748592    
## party_fe161            0.0804905  0.3371456   0.239 0.811326    
## party_fe162            0.1760502  0.3372265   0.522 0.601680    
## party_fe163            0.2003587  0.3372588   0.594 0.552513    
## party_fe164            0.0005966  0.2095896   0.003 0.997729    
## party_fe165           -0.2240045  0.1876092  -1.194 0.232595    
## party_fe166            0.3900258  0.1885346   2.069 0.038676 *  
## party_fe167            0.3861187  0.2103726   1.835 0.066566 .  
## party_fe168            0.3732892  0.2103158   1.775 0.076038 .  
## party_fe169            0.1705117  0.1876911   0.908 0.363719    
## party_fe170            0.1144736  0.1847691   0.620 0.535612    
## party_fe171           -0.0318924  0.1585405  -0.201 0.840588    
## party_fe172            0.1560792  0.1587112   0.983 0.325499    
## party_fe173            0.3791461  0.1614793   2.348 0.018955 *  
## party_fe174            0.3055680  0.1849261   1.652 0.098585 .  
## party_fe175            0.3646939  0.3376939   1.080 0.280268    
## party_fe176            0.4902805  0.3381012   1.450 0.147158    
## party_fe177            0.1750310  0.2095923   0.835 0.403741    
## party_fe178            0.2074370  0.1603321   1.294 0.195857    
## party_fe179           -0.0574600  0.1599660  -0.359 0.719475    
## party_fe180            0.4150533  0.1616131   2.568 0.010281 *  
## party_fe181            0.4051624  0.1607562   2.520 0.011786 *  
## party_fe182            0.5879227  0.2477659   2.373 0.017726 *  
## party_fe183            0.2560511  0.1845379   1.388 0.165407    
## party_fe184            0.2292914  0.1584075   1.447 0.147890    
## party_fe185            0.0521107  0.1843589   0.283 0.777462    
## party_fe186            0.1388111  0.1582782   0.877 0.380568    
## party_fe187            0.4410518  0.1694074   2.603 0.009283 ** 
## party_fe188            0.4950440  0.1693054   2.924 0.003487 ** 
## party_fe189            0.2269733  0.3401652   0.667 0.504679    
## party_fe190            0.2624696  0.3402304   0.771 0.440516    
## party_fe191            0.1443334  0.3400523   0.424 0.671279    
## party_fe192            0.2976708  0.3403048   0.875 0.381812    
## party_fe193            0.3003325  0.3403109   0.883 0.377580    
## party_fe194            0.3338680  0.3403917   0.981 0.326770    
## party_fe195            0.2166484  0.3414947   0.634 0.525871    
## party_fe196            0.3667668  0.1655723   2.215 0.026841 *  
## party_fe197            0.3211060  0.1657446   1.937 0.052816 .  
## party_fe198            0.0960915  0.2510586   0.383 0.701941    
## party_fe199            0.3386854  0.2589766   1.308 0.191069    
## party_fe200            0.2400776  0.2540037   0.945 0.344663    
## party_fe201            0.1246959  0.3370587   0.370 0.711449    
## party_fe202            0.1621069  0.3370926   0.481 0.630632    
## party_fe203           -0.0590142  0.1578513  -0.374 0.708541    
## party_fe204            0.4485947  0.3377245   1.328 0.184207    
## party_fe205            0.4825177  0.1604976   3.006 0.002670 ** 
## party_fe206            0.0811355  0.1589512   0.510 0.609787    
## party_fe207            0.4067288  0.1846426   2.203 0.027702 *  
## party_fe208            0.2703025  0.1586334   1.704 0.088518 .  
## party_fe209            0.1189856  0.1595148   0.746 0.455785    
## party_fe210            0.1747152  0.1596530   1.094 0.273911    
## party_fe211            0.3117254  0.1604643   1.943 0.052173 .  
## party_fe212            0.0964749  0.2466145   0.391 0.695685    
## party_fe213            0.2463832  0.1597791   1.542 0.123196    
## party_fe214            0.1796476  0.1596048   1.126 0.260454    
## party_fe215            0.3841162  0.1606997   2.390 0.016911 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8763 
## F-statistic:  77.4 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb51"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb51-1" data-line-number="1"><span class="kw">stargazer</span>(modeld3)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:31
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.752$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.437$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.027$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_lib &amp; $-$0.0003 \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.018 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.054 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.111$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.122$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.090 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.116$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.045 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.174$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.140$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.015 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.088 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.077 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.117 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.188$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.151$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.145$^{*}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.096 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.100 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.131 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.108 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.078 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.127 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.077 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.049 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.066 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.040 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.070 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.082 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.308$^{**}$ \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.456$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.129 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.018 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.114 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.169 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.339$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.149 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.117 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.250$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.061 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.150 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.061 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.420$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.104 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.492$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.401$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.571$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.004 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.216$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.004 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.121 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.334 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.082 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.165 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.224 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.108 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.022 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.079 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.359$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.154 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.313$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.148 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.762$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.162 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.159 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.079 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.081 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.108 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.186$^{*}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.164 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.125 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.514$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.163 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.416$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.091 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.013 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.140 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.050 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.272$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.208 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.018 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.277$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.168 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.066 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.192 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.011 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.244 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.158 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.335$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.366$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.265$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.102 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.615$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.399 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.105 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.106 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.032 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.085 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.044 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.042 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.580$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.044 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.289$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.502$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.371$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.235 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.333$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.578$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.419$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.301 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.653$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.224 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.674$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.708$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.419$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.480$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.361$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.242$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.008 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.081 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.209 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.029 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.224$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.172 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.007 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.127 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.029 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.035 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.034 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.217$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.363$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.338$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.064 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.068 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.216 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.002 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.310$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.461$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.196$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.151 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.106 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.052 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.029 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.218$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.372$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.005 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.028 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.871$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.138 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.112 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.054 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.138 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.123 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.202 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.055 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.094 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.088 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.052 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.315$^{***}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.288$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.125 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.108 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.080 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.176 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.200 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.001 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.224 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.386$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.373$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.171 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.114 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.032 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.156 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.379$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.306$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.365 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.490 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.175 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.207 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.057 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.415$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.405$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.588$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.256 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.229 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.052 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.441$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.227 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.262 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.144 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.298 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.300 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.334 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.217 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.367$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.321$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.096 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.339 \\ 
##   &amp; (0.259) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.240 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.125 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.162 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.059 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.449 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.483$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.081 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.270$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.119 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.175 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.312$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.096 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.246 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.180 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.384$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.016 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.403$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb53"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb53-1" data-line-number="1"><span class="co"># Model D4 in Table S3</span></a>
<a class="sourceLine" id="cb53-2" data-line-number="2"></a>
<a class="sourceLine" id="cb53-3" data-line-number="3">modeld4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_uen + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb53-4" data-line-number="4"></a>
<a class="sourceLine" id="cb53-5" data-line-number="5">modeld4 &lt;-<span class="st"> </span><span class="kw">lm</span>(modeld4, <span class="dt">data =</span> dataframe_uen)</a>
<a class="sourceLine" id="cb53-6" data-line-number="6"><span class="kw">summary</span>(modeld4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modeld4, data = dataframe_uen)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93189 -0.09743 -0.00206  0.10688  2.13274 
## 
## Coefficients:
##                         Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)           -0.8558258  0.8218760  -1.041 0.297835    
## lag_rile               0.7503833  0.0128892  58.218  &lt; 2e-16 ***
## lag_cmedian            0.4103383  0.1582407   2.593 0.009567 ** 
## lag_econ_glob          0.0256503  0.0112730   2.275 0.022968 *  
## interaction           -0.0054646  0.0021157  -2.583 0.009854 ** 
## spsamegroup_ruled_uen  0.0544334  0.0231940   2.347 0.019011 *  
## year_fe2               0.0409039  0.0673887   0.607 0.543917    
## year_fe3               0.0177816  0.0666990   0.267 0.789804    
## year_fe4               0.0538030  0.0670609   0.802 0.422456    
## year_fe5               0.1112451  0.0671862   1.656 0.097895 .  
## year_fe6               0.1224996  0.0671995   1.823 0.068436 .  
## year_fe7               0.0904731  0.0674243   1.342 0.179769    
## year_fe8               0.1170096  0.0665612   1.758 0.078885 .  
## year_fe9               0.0463013  0.0671399   0.690 0.490495    
## year_fe10              0.1433301  0.0649480   2.207 0.027417 *  
## year_fe11              0.1384701  0.0646626   2.141 0.032337 *  
## year_fe12              0.1445794  0.0644221   2.244 0.024905 *  
## year_fe13              0.1746766  0.0652362   2.678 0.007464 ** 
## year_fe14              0.1404074  0.0667760   2.103 0.035597 *  
## year_fe15             -0.0145089  0.0675672  -0.215 0.829994    
## year_fe16              0.0885836  0.0687830   1.288 0.197912    
## year_fe17              0.0779974  0.0689664   1.131 0.258187    
## year_fe18              0.1184411  0.0706067   1.677 0.093576 .  
## year_fe19              0.1181454  0.0721727   1.637 0.101762    
## year_fe20              0.1880439  0.0708368   2.655 0.007991 ** 
## year_fe21              0.1514498  0.0728279   2.080 0.037669 *  
## year_fe22              0.1452631  0.0760954   1.909 0.056383 .  
## year_fe23              0.0941309  0.0786179   1.197 0.231296    
## year_fe24              0.0984850  0.0792555   1.243 0.214124    
## year_fe25              0.1332563  0.0841531   1.583 0.113436    
## year_fe26              0.1087663  0.0824580   1.319 0.187274    
## year_fe27              0.0755603  0.0802685   0.941 0.346620    
## year_fe28              0.1238972  0.0802260   1.544 0.122631    
## year_fe29              0.0741804  0.0806859   0.919 0.357991    
## year_fe30              0.0464276  0.0776992   0.598 0.550209    
## year_fe31              0.0633682  0.0798010   0.794 0.427227    
## year_fe32              0.0389055  0.0814068   0.478 0.632753    
## year_fe33              0.0680990  0.0785512   0.867 0.386060    
## year_fe34              0.0804366  0.0779315   1.032 0.302105    
## party_fe2             -0.0884410  0.1187080  -0.745 0.456325    
## party_fe3             -0.0085742  0.1187359  -0.072 0.942439    
## party_fe4              0.3041539  0.1199914   2.535 0.011313 *  
## party_fe5              0.2935515  0.1195037   2.456 0.014101 *  
## party_fe6              0.4590381  0.1220004   3.763 0.000172 ***
## party_fe7             -0.1318786  0.1439205  -0.916 0.359584    
## party_fe8             -0.0209058  0.1437293  -0.145 0.884365    
## party_fe9              0.1120761  0.1435740   0.781 0.435104    
## party_fe10             0.1664381  0.1435999   1.159 0.246552    
## party_fe11             0.3374316  0.1442194   2.340 0.019378 *  
## party_fe12             0.1490567  0.2063643   0.722 0.470179    
## party_fe13            -0.1210776  0.1347269  -0.899 0.368906    
## party_fe14            -0.2540097  0.1313602  -1.934 0.053266 .  
## party_fe15            -0.0614827  0.1172881  -0.524 0.600185    
## party_fe16            -0.1526512  0.1014954  -1.504 0.132704    
## party_fe17             0.0590794  0.1013154   0.583 0.559863    
## party_fe18             0.4193895  0.1094199   3.833 0.000130 ***
## party_fe19             0.1004885  0.1015237   0.990 0.322367    
## party_fe20             0.4883836  0.1047052   4.664 3.26e-06 ***
## party_fe21             0.4014614  0.1059718   3.788 0.000155 ***
## party_fe22             0.4298988  0.1040865   4.130 3.75e-05 ***
## party_fe23             0.5731852  0.1294116   4.429 9.87e-06 ***
## party_fe24             0.0028521  0.1183519   0.024 0.980776    
## party_fe25            -0.2170923  0.1185718  -1.831 0.067237 .  
## party_fe26            -0.0044411  0.1183834  -0.038 0.970078    
## party_fe27             0.1199995  0.3389864   0.354 0.723373    
## party_fe28             0.3331656  0.2083368   1.599 0.109911    
## party_fe29             0.2528361  0.1198163   2.110 0.034942 *  
## party_fe30             0.2530246  0.1197233   2.113 0.034666 *  
## party_fe31             0.0817515  0.1052573   0.777 0.437421    
## party_fe32             0.1652484  0.1053752   1.568 0.116965    
## party_fe33             0.2270536  0.1580037   1.437 0.150841    
## party_fe34             0.1067785  0.1055315   1.012 0.311725    
## party_fe35             0.0214216  0.1034993   0.207 0.836048    
## party_fe36             0.0803707  0.2456423   0.327 0.743555    
## party_fe37             0.3551039  0.1043278   3.404 0.000675 ***
## party_fe38             0.3618885  0.1185195   3.053 0.002287 ** 
## party_fe39             0.1531846  0.2068954   0.740 0.459130    
## party_fe40             0.3125202  0.1871611   1.670 0.095087 .  
## party_fe41             0.1489014  0.2067542   0.720 0.471479    
## party_fe42             0.1643362  0.1496715   1.098 0.272321    
## party_fe43             0.7662873  0.2093234   3.661 0.000257 ***
## party_fe44             0.3106581  0.1036568   2.997 0.002754 ** 
## party_fe45             0.1618490  0.1030562   1.570 0.116429    
## party_fe46             0.1603121  0.1113634   1.440 0.150125    
## party_fe47             0.0801467  0.1178689   0.680 0.496591    
## party_fe48             0.0791237  0.1293555   0.612 0.540809    
## party_fe49             0.1075757  0.1029922   1.045 0.296355    
## party_fe50             0.1826082  0.1031466   1.770 0.076788 .  
## party_fe51             0.3988705  0.1050183   3.798 0.000149 ***
## party_fe52            -0.1607748  0.2065382  -0.778 0.436392    
## party_fe53             0.2139188  0.1039251   2.058 0.039657 *  
## party_fe54             0.1231104  0.1856273   0.663 0.507256    
## party_fe55             0.5180148  0.1450477   3.571 0.000362 ***
## party_fe56             0.1672276  0.2070219   0.808 0.419297    
## party_fe57             0.4213261  0.1874641   2.248 0.024696 *  
## party_fe58             0.0909376  0.1884650   0.483 0.629482    
## party_fe59             0.0117899  0.1447233   0.081 0.935079    
## party_fe60             0.1423040  0.1407193   1.011 0.311990    
## party_fe61             0.0521958  0.1580421   0.330 0.741228    
## party_fe62            -0.2747638  0.1262898  -2.176 0.029675 *  
## party_fe63            -0.2075335  0.3372185  -0.615 0.538329    
## party_fe64             0.0177123  0.1071218   0.165 0.868684    
## party_fe65             0.2734381  0.1079301   2.533 0.011355 *  
## party_fe66             0.1691272  0.1074021   1.575 0.115452    
## party_fe67            -0.0710696  0.1226059  -0.580 0.562197    
## party_fe68             0.1865739  0.1893169   0.986 0.324470    
## party_fe69            -0.1720725  0.1114971  -1.543 0.122888    
## party_fe70            -0.0192204  0.1112158  -0.173 0.862807    
## party_fe71             0.2321193  0.3441094   0.675 0.500024    
## party_fe72             0.1456275  0.3440118   0.423 0.672098    
## party_fe73             0.3275083  0.1188002   2.757 0.005880 ** 
## party_fe74             0.3575523  0.1297767   2.755 0.005910 ** 
## party_fe75             0.2571035  0.1125250   2.285 0.022406 *  
## party_fe76             0.0993168  0.1473000   0.674 0.500217    
## party_fe77             0.6117767  0.1194800   5.120 3.29e-07 ***
## party_fe78             0.3992624  0.2486127   1.606 0.108410    
## party_fe79             0.0991072  0.1264456   0.784 0.433237    
## party_fe80             0.1244896  0.1858500   0.670 0.503023    
## party_fe81             0.0914146  0.1458902   0.627 0.530981    
## party_fe82            -0.0432160  0.1522397  -0.284 0.776535    
## party_fe83            -0.0886240  0.1224766  -0.724 0.469380    
## party_fe84             0.0425940  0.1600382   0.266 0.790147    
## party_fe85             0.1559272  0.1121252   1.391 0.164456    
## party_fe86             0.0418238  0.3377810   0.124 0.901468    
## party_fe87             0.5827611  0.1201967   4.848 1.32e-06 ***
## party_fe88             0.2328987  0.1242609   1.874 0.061011 .  
## party_fe89             0.5797637  0.1873258   3.095 0.001991 ** 
## party_fe90             0.0425940  0.1600382   0.266 0.790147    
## party_fe91             0.2779376  0.1281617   2.169 0.030205 *  
## party_fe92             0.4909429  0.1291213   3.802 0.000147 ***
## party_fe93             0.3602345  0.1286004   2.801 0.005131 ** 
## party_fe94             0.1244896  0.1858500   0.670 0.503023    
## party_fe95             0.2345315  0.2480069   0.946 0.344412    
## party_fe96             0.3238552  0.1175051   2.756 0.005893 ** 
## party_fe97             0.5785400  0.1873162   3.089 0.002034 ** 
## party_fe98             0.4195018  0.1869168   2.244 0.024900 *  
## party_fe99             0.2970857  0.3393763   0.875 0.381449    
## party_fe100            0.6515885  0.1612844   4.040 5.51e-05 ***
## party_fe101           -0.2234675  0.1874425  -1.192 0.233301    
## party_fe102            0.6745311  0.1304227   5.172 2.50e-07 ***
## party_fe103            0.7090835  0.1617390   4.384 1.21e-05 ***
## party_fe104            0.4195018  0.1869168   2.244 0.024900 *  
## party_fe105            0.4231544  0.1148125   3.686 0.000233 ***
## party_fe106            0.3589032  0.1189863   3.016 0.002585 ** 
## party_fe107            0.2406534  0.1405252   1.713 0.086925 .  
## party_fe108           -0.0794587  0.1125804  -0.706 0.480382    
## party_fe109            0.0023975  0.1123884   0.021 0.982982    
## party_fe110            0.0697492  0.2141265   0.326 0.744650    
## party_fe111            0.1973897  0.2523774   0.782 0.434218    
## party_fe112            0.0183916  0.1421179   0.129 0.897043    
## party_fe113            0.2189873  0.1130115   1.938 0.052769 .  
## party_fe114            0.1618299  0.1127387   1.435 0.151288    
## party_fe115            0.0070599  0.2484706   0.028 0.977335    
## party_fe116            0.1222444  0.1173451   1.042 0.297629    
## party_fe117           -0.0328465  0.1374416  -0.239 0.811137    
## party_fe118           -0.0395944  0.1130929  -0.350 0.726290    
## party_fe119           -0.0387306  0.2108946  -0.184 0.854304    
## party_fe120            0.2142414  0.1140201   1.879 0.060365 .  
## party_fe121            0.3590870  0.1645818   2.182 0.029217 *  
## party_fe122            0.2151880  0.1263360   1.703 0.088638 .  
## party_fe123            0.3344772  0.1731284   1.932 0.053479 .  
## party_fe124           -0.0647117  0.1300505  -0.498 0.618818    
## party_fe125           -0.0069432  0.1092553  -0.064 0.949334    
## party_fe126           -0.0701762  0.1174439  -0.598 0.550209    
## party_fe127           -0.2216673  0.3392896  -0.653 0.513606    
## party_fe128           -0.0004782  0.1092158  -0.004 0.996507    
## party_fe129            0.3073602  0.1737150   1.769 0.076961 .  
## party_fe130            0.2078913  0.1098739   1.892 0.058596 .  
## party_fe131            0.4598070  0.2119273   2.170 0.030129 *  
## party_fe132            0.1942501  0.1097419   1.770 0.076840 .  
## party_fe133           -0.0227286  0.1112219  -0.204 0.838094    
## party_fe134           -0.1562865  0.1272202  -1.228 0.219387    
## party_fe135           -0.1086165  0.2084977  -0.521 0.602450    
## party_fe136           -0.0563087  0.3385955  -0.166 0.867934    
## party_fe137            0.0255831  0.1082762   0.236 0.813238    
## party_fe138            0.2110763  0.1087286   1.941 0.052334 .  
## party_fe139            0.3704903  0.1099697   3.369 0.000766 ***
## party_fe140            0.1013417  0.1191806   0.850 0.395230    
## party_fe141           -0.0041473  0.1680779  -0.025 0.980316    
## party_fe142            0.0277849  0.1190248   0.233 0.815441    
## party_fe143            0.2164756  0.1204069   1.798 0.072320 .  
## party_fe144            0.8720540  0.2117765   4.118 3.95e-05 ***
## party_fe145            0.2497465  0.1202999   2.076 0.037994 *  
## party_fe146            0.1394324  0.1836151   0.759 0.447702    
## party_fe147            0.1103150  0.1507651   0.732 0.464421    
## party_fe148            0.0514520  0.1027010   0.501 0.616424    
## party_fe149            0.1358216  0.1441194   0.942 0.346068    
## party_fe150            0.1212430  0.1028810   1.178 0.238720    
## party_fe151            0.4602051  0.1053476   4.368 1.30e-05 ***
## party_fe152            0.2007068  0.1282370   1.565 0.117682    
## party_fe153            0.0549201  0.1111951   0.494 0.621415    
## party_fe154           -0.0972121  0.1331689  -0.730 0.465465    
## party_fe155            0.0876354  0.1385955   0.632 0.527242    
## party_fe156            0.0507490  0.1033428   0.491 0.623418    
## party_fe157            0.3119066  0.1107587   2.816 0.004900 ** 
## party_fe158            0.2882448  0.1043172   2.763 0.005767 ** 
## party_fe159            0.1053105  0.1042181   1.010 0.312364    
## party_fe160            0.1094424  0.3367839   0.325 0.745236    
## party_fe161            0.0817281  0.3367684   0.243 0.808271    
## party_fe162            0.1777511  0.3368480   0.528 0.597762    
## party_fe163            0.2021775  0.3368799   0.600 0.548463    
## party_fe164           -0.0023393  0.2093177  -0.011 0.991084    
## party_fe165           -0.2265511  0.1873552  -1.209 0.226699    
## party_fe166            0.3890843  0.1882487   2.067 0.038851 *  
## party_fe167            0.3850522  0.2100668   1.833 0.066923 .  
## party_fe168            0.3721605  0.2100113   1.772 0.076502 .  
## party_fe169            0.1683607  0.1874297   0.898 0.369134    
## party_fe170            0.1152644  0.1844912   0.625 0.532181    
## party_fe171           -0.0315370  0.1583178  -0.199 0.842122    
## party_fe172            0.1568598  0.1584813   0.990 0.322384    
## party_fe173            0.3820398  0.1612077   2.370 0.017871 *  
## party_fe174            0.3065541  0.1846444   1.660 0.096993 .  
## party_fe175            0.3672081  0.3373103   1.089 0.276421    
## party_fe176            0.4934038  0.3377144   1.461 0.144140    
## party_fe177            0.1742791  0.2092832   0.833 0.405071    
## party_fe178            0.2084559  0.1600967   1.302 0.193017    
## party_fe179           -0.0569231  0.1597390  -0.356 0.721609    
## party_fe180            0.4134268  0.1607518   2.572 0.010174 *  
## party_fe181            0.4065768  0.1605135   2.533 0.011371 *  
## party_fe182            0.5918220  0.2474772   2.391 0.016858 *  
## party_fe183            0.2566381  0.1842778   1.393 0.163845    
## party_fe184            0.2309866  0.1581884   1.460 0.144363    
## party_fe185            0.0522557  0.1841060   0.284 0.776561    
## party_fe186            0.1403589  0.1580613   0.888 0.374626    
## party_fe187            0.4434851  0.1691828   2.621 0.008812 ** 
## party_fe188            0.4973853  0.1690820   2.942 0.003295 ** 
## party_fe189            0.2288415  0.3397605   0.674 0.500668    
## party_fe190            0.2645099  0.3398242   0.778 0.436424    
## party_fe191            0.1458009  0.3396508   0.429 0.667766    
## party_fe192            0.2998819  0.3398972   0.882 0.377716    
## party_fe193            0.3025565  0.3399031   0.890 0.373485    
## party_fe194            0.3362546  0.3399825   0.989 0.322743    
## party_fe195            0.2180983  0.3410654   0.639 0.522582    
## party_fe196            0.3676204  0.1652471   2.225 0.026194 *  
## party_fe197            0.3221537  0.1654140   1.948 0.051581 .  
## party_fe198            0.0979978  0.2507177   0.391 0.695928    
## party_fe199            0.3308114  0.2538492   1.303 0.192635    
## party_fe200            0.2416232  0.2535481   0.953 0.340700    
## party_fe201            0.1265446  0.3366844   0.376 0.707057    
## party_fe202            0.1641370  0.3367182   0.487 0.625975    
## party_fe203           -0.0579958  0.1576448  -0.368 0.712987    
## party_fe204            0.4520139  0.3373472   1.340 0.180399    
## party_fe205            0.4857250  0.1602571   3.031 0.002464 ** 
## party_fe206            0.0834096  0.1587265   0.525 0.599288    
## party_fe207            0.4083749  0.1843779   2.215 0.026859 *  
## party_fe208            0.2723194  0.1584127   1.719 0.085731 .  
## party_fe209            0.1188853  0.1592706   0.746 0.455476    
## party_fe210            0.1748390  0.1594042   1.097 0.272824    
## party_fe211            0.3078834  0.1592740   1.933 0.053345 .  
## party_fe212            0.0953698  0.2462727   0.387 0.698603    
## party_fe213            0.2466736  0.1595268   1.546 0.122165    
## party_fe214            0.1796995  0.1593575   1.128 0.259577    
## party_fe215            0.3852348  0.1604291   2.401 0.016412 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3245 on 2465 degrees of freedom
## Multiple R-squared:  0.8881, Adjusted R-squared:  0.8766 
## F-statistic:  77.6 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb55"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb55-1" data-line-number="1"><span class="kw">stargazer</span>(modeld4)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:32
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.750$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.410$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.026$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.005$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_uen &amp; 0.054$^{**}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.018 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.054 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.111$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.122$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.090 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.117$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.046 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.145$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.175$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.140$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.015 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.089 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.078 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.118 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.188$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.151$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.145$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.094 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.098 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.133 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.109 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.076 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.124 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.074 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.046 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.063 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.039 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.068 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.080 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.304$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.294$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.459$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.132 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.021 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.112 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.166 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.337$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.149 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.121 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.254$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.061 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.153 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.059 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.100 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.488$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.401$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.573$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.003 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.217$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.004 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.120 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.333 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.082 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.165 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.227 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.107 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.021 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.080 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.153 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.313$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.149 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.164 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.766$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.311$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.162 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.160 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.080 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.079 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.108 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.399$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.161 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.123 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.518$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.167 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.421$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.091 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.012 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.142 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.052 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.275$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.208 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.018 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.273$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.169 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.071 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.187 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.172 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.019 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.232 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.146 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.328$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.358$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.099 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.612$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.399 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.099 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.124 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.091 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.043 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.089 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.043 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.156 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.042 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.583$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.233$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.580$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.043 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.278$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.491$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.124 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.235 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.324$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.579$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.297 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.652$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.223 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.675$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.709$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.359$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.241$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.079 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.002 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.070 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.197 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.018 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.162 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.007 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.122 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.033 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.040 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.039 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.214$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.359$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.334$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.065 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.007 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.070 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.222 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.0005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.460$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.194$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.023 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.156 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.109 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.056 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.026 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.211$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.370$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.004 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.028 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.872$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.250$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.139 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.110 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.136 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.121 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.201 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.055 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.097 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.088 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.312$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.288$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.105 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.109 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.082 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.178 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.202 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.002 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.227 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.389$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.385$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.372$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.168 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.115 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.032 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.157 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.382$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.367 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.493 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.174 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.208 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.057 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.592$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.257 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.231 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.052 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.140 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.443$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.497$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.229 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.265 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.146 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.300 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.303 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.336 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.218 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.368$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.322$^{*}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.098 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.331 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.242 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.127 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.164 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.058 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.452 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.083 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.408$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.272$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.119 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.175 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.308$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.095 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.247 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.180 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.385$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.856 \\ 
##   &amp; (0.822) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.597$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="table-s4" class="section level2">
<h2>Table S4</h2>
<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb57-1" data-line-number="1"><span class="co"># load dataset</span></a>
<a class="sourceLine" id="cb57-2" data-line-number="2"></a>
<a class="sourceLine" id="cb57-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_soc.RData&quot;</span>)</a>
<a class="sourceLine" id="cb57-4" data-line-number="4"></a>
<a class="sourceLine" id="cb57-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb57-6" data-line-number="6"></a>
<a class="sourceLine" id="cb57-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb57-8" data-line-number="8"></a>
<a class="sourceLine" id="cb57-9" data-line-number="9"><span class="co"># capture all parties minus one from colnames to include party fixed effects in the models</span></a>
<a class="sourceLine" id="cb57-10" data-line-number="10"></a>
<a class="sourceLine" id="cb57-11" data-line-number="11">partyfx &lt;-<span class="st"> </span><span class="kw">paste</span>(<span class="kw">colnames</span>(dataframe_pes[<span class="dv">24</span><span class="op">:</span><span class="dv">237</span>]), <span class="dt">sep=</span><span class="st">&quot;&quot;</span>)</a>
<a class="sourceLine" id="cb57-12" data-line-number="12"></a>
<a class="sourceLine" id="cb57-13" data-line-number="13"><span class="co"># Model 1 in Table S4</span></a>
<a class="sourceLine" id="cb57-14" data-line-number="14"></a>
<a class="sourceLine" id="cb57-15" data-line-number="15">model1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsameparfam_soc + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb57-16" data-line-number="16"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + </span></a>
<a class="sourceLine" id="cb57-17" data-line-number="17"><span class="st">                          year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb57-18" data-line-number="18"><span class="st">                          year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb57-19" data-line-number="19"></a>
<a class="sourceLine" id="cb57-20" data-line-number="20">model1 &lt;-<span class="st"> </span><span class="kw">lm</span>(model1, <span class="dt">data =</span> dataframe_soc)</a>
<a class="sourceLine" id="cb57-21" data-line-number="21"><span class="kw">summary</span>(model1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model1, data = dataframe_soc)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93364 -0.09661 -0.00151  0.10606  2.08654 
## 
## Coefficients:
##                    Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)      -1.021e+00  8.198e-01  -1.246 0.212875    
## lag_rile          7.515e-01  1.290e-02  58.272  &lt; 2e-16 ***
## lag_cmedian       4.378e-01  1.580e-01   2.771 0.005637 ** 
## lag_econ_glob     2.761e-02  1.126e-02   2.453 0.014242 *  
## interaction      -5.800e-03  2.114e-03  -2.744 0.006114 ** 
## spsameparfam_soc  6.528e-06  1.653e-04   0.039 0.968511    
## year_fe2          4.051e-02  6.865e-02   0.590 0.555246    
## year_fe3          1.742e-02  6.705e-02   0.260 0.795061    
## year_fe4          5.399e-02  6.714e-02   0.804 0.421334    
## year_fe5          1.104e-01  6.726e-02   1.642 0.100812    
## year_fe6          1.212e-01  6.772e-02   1.790 0.073603 .  
## year_fe7          8.949e-02  6.750e-02   1.326 0.185052    
## year_fe8          1.159e-01  6.664e-02   1.739 0.082150 .  
## year_fe9          4.438e-02  6.868e-02   0.646 0.518234    
## year_fe10         1.419e-01  6.513e-02   2.179 0.029443 *  
## year_fe11         1.373e-01  6.521e-02   2.106 0.035336 *  
## year_fe12         1.437e-01  6.450e-02   2.227 0.026009 *  
## year_fe13         1.734e-01  6.567e-02   2.641 0.008330 ** 
## year_fe14         1.391e-01  6.703e-02   2.075 0.038052 *  
## year_fe15        -1.614e-02  6.783e-02  -0.238 0.811890    
## year_fe16         8.676e-02  6.902e-02   1.257 0.208819    
## year_fe17         7.620e-02  6.905e-02   1.104 0.269893    
## year_fe18         1.165e-01  7.094e-02   1.642 0.100662    
## year_fe19         1.161e-01  7.260e-02   1.599 0.109994    
## year_fe20         1.865e-01  7.092e-02   2.630 0.008588 ** 
## year_fe21         1.494e-01  7.316e-02   2.043 0.041178 *  
## year_fe22         1.430e-01  7.620e-02   1.876 0.060745 .  
## year_fe23         9.490e-02  7.871e-02   1.206 0.228017    
## year_fe24         9.906e-02  7.942e-02   1.247 0.212448    
## year_fe25         1.298e-01  8.441e-02   1.538 0.124260    
## year_fe26         1.059e-01  8.258e-02   1.282 0.199942    
## year_fe27         7.652e-02  8.036e-02   0.952 0.341094    
## year_fe28         1.249e-01  8.032e-02   1.555 0.120058    
## year_fe29         7.490e-02  8.078e-02   0.927 0.353933    
## year_fe30         4.753e-02  7.779e-02   0.611 0.541211    
## year_fe31         6.423e-02  7.990e-02   0.804 0.421529    
## year_fe32         3.738e-02  8.150e-02   0.459 0.646502    
## year_fe33         6.693e-02  7.871e-02   0.850 0.395204    
## year_fe34         7.939e-02  7.804e-02   1.017 0.309067    
## party_fe2        -8.782e-02  1.188e-01  -0.739 0.459972    
## party_fe3        -9.212e-03  1.189e-01  -0.077 0.938234    
## party_fe4         3.026e-01  1.201e-01   2.519 0.011843 *  
## party_fe5         2.923e-01  1.196e-01   2.443 0.014631 *  
## party_fe6         4.566e-01  1.221e-01   3.739 0.000189 ***
## party_fe7        -1.288e-01  1.441e-01  -0.894 0.371377    
## party_fe8        -1.819e-02  1.439e-01  -0.126 0.899472    
## party_fe9         1.141e-01  1.438e-01   0.793 0.427618    
## party_fe10        1.683e-01  1.438e-01   1.171 0.241898    
## party_fe11        3.384e-01  1.445e-01   2.343 0.019228 *  
## party_fe12        1.494e-01  2.066e-01   0.723 0.469600    
## party_fe13       -1.181e-01  1.349e-01  -0.876 0.381263    
## party_fe14       -2.505e-01  1.315e-01  -1.904 0.056968 .  
## party_fe15       -6.063e-02  1.174e-01  -0.516 0.605683    
## party_fe16       -1.505e-01  1.016e-01  -1.481 0.138635    
## party_fe17        6.037e-02  1.014e-01   0.595 0.551815    
## party_fe18        4.194e-01  1.095e-01   3.829 0.000132 ***
## party_fe19        1.014e-01  1.016e-01   0.998 0.318437    
## party_fe20        4.877e-01  1.048e-01   4.652 3.45e-06 ***
## party_fe21        4.012e-01  1.061e-01   3.782 0.000159 ***
## party_fe22        4.294e-01  1.042e-01   4.121 3.90e-05 ***
## party_fe23        5.711e-01  1.296e-01   4.408 1.09e-05 ***
## party_fe24        3.651e-03  1.185e-01   0.031 0.975422    
## party_fe25       -2.155e-01  1.187e-01  -1.816 0.069558 .  
## party_fe26       -3.679e-03  1.185e-01  -0.031 0.975241    
## party_fe27        1.211e-01  3.394e-01   0.357 0.721288    
## party_fe28        3.340e-01  2.086e-01   1.601 0.109439    
## party_fe29        2.523e-01  1.200e-01   2.103 0.035545 *  
## party_fe30        2.525e-01  1.199e-01   2.107 0.035238 *  
## party_fe31        8.118e-02  1.054e-01   0.770 0.441165    
## party_fe32        1.646e-01  1.055e-01   1.560 0.118941    
## party_fe33        2.242e-01  1.582e-01   1.417 0.156500    
## party_fe34        1.073e-01  1.056e-01   1.016 0.309825    
## party_fe35        2.123e-02  1.036e-01   0.205 0.837644    
## party_fe36        7.878e-02  2.464e-01   0.320 0.749223    
## party_fe37        3.536e-01  1.044e-01   3.386 0.000721 ***
## party_fe38        3.615e-01  1.187e-01   3.047 0.002336 ** 
## party_fe39        1.535e-01  2.072e-01   0.741 0.458963    
## party_fe40        3.118e-01  1.874e-01   1.664 0.096217 .  
## party_fe41        1.476e-01  2.070e-01   0.713 0.475985    
## party_fe42        1.622e-01  1.499e-01   1.082 0.279265    
## party_fe43        7.623e-01  2.098e-01   3.633 0.000286 ***
## party_fe44        3.096e-01  1.038e-01   2.983 0.002883 ** 
## party_fe45        1.612e-01  1.032e-01   1.562 0.118380    
## party_fe46        1.591e-01  1.115e-01   1.427 0.153760    
## party_fe47        7.863e-02  1.180e-01   0.666 0.505389    
## party_fe48        8.036e-02  1.295e-01   0.621 0.534964    
## party_fe49        1.073e-01  1.031e-01   1.041 0.297972    
## party_fe50        1.821e-01  1.033e-01   1.763 0.078015 .  
## party_fe51        3.971e-01  1.052e-01   3.777 0.000163 ***
## party_fe52       -1.642e-01  2.068e-01  -0.794 0.427089    
## party_fe53        2.131e-01  1.041e-01   2.048 0.040679 *  
## party_fe54        1.238e-01  1.858e-01   0.666 0.505420    
## party_fe55        5.140e-01  1.452e-01   3.539 0.000409 ***
## party_fe56        1.631e-01  2.073e-01   0.787 0.431306    
## party_fe57        4.170e-01  1.877e-01   2.222 0.026395 *  
## party_fe58        9.026e-02  1.887e-01   0.478 0.632436    
## party_fe59        1.202e-02  1.449e-01   0.083 0.933903    
## party_fe60        1.399e-01  1.410e-01   0.993 0.320963    
## party_fe61        5.054e-02  1.583e-01   0.319 0.749521    
## party_fe62       -2.732e-01  1.265e-01  -2.160 0.030855 *  
## party_fe63       -2.076e-01  3.376e-01  -0.615 0.538596    
## party_fe64        1.691e-02  1.073e-01   0.158 0.874759    
## party_fe65        2.715e-01  1.081e-01   2.512 0.012067 *  
## party_fe66        1.676e-01  1.075e-01   1.559 0.119196    
## party_fe67       -6.514e-02  1.227e-01  -0.531 0.595626    
## party_fe68        1.924e-01  1.895e-01   1.015 0.310200    
## party_fe69       -1.637e-01  1.116e-01  -1.468 0.142304    
## party_fe70       -1.134e-02  1.113e-01  -0.102 0.918824    
## party_fe71        2.438e-01  3.445e-01   0.708 0.479154    
## party_fe72        1.577e-01  3.444e-01   0.458 0.647067    
## party_fe73        3.351e-01  1.189e-01   2.818 0.004865 ** 
## party_fe74        3.658e-01  1.299e-01   2.816 0.004897 ** 
## party_fe75        2.633e-01  1.126e-01   2.338 0.019487 *  
## party_fe76        1.021e-01  1.475e-01   0.692 0.488923    
## party_fe77        6.158e-01  1.196e-01   5.148 2.83e-07 ***
## party_fe78        3.999e-01  2.490e-01   1.606 0.108412    
## party_fe79        1.050e-01  1.266e-01   0.829 0.406955    
## party_fe80        1.260e-01  1.861e-01   0.677 0.498313    
## party_fe81        1.053e-01  1.459e-01   0.722 0.470636    
## party_fe82       -3.163e-02  1.523e-01  -0.208 0.835506    
## party_fe83       -8.464e-02  1.226e-01  -0.690 0.490035    
## party_fe84        4.370e-02  1.603e-01   0.273 0.785169    
## party_fe85        1.641e-01  1.122e-01   1.462 0.143791    
## party_fe86        4.230e-02  3.387e-01   0.125 0.900636    
## party_fe87        5.904e-01  1.203e-01   4.908 9.79e-07 ***
## party_fe88        2.441e-01  1.243e-01   1.964 0.049695 *  
## party_fe89        5.801e-01  1.876e-01   3.092 0.002007 ** 
## party_fe90        4.369e-02  1.603e-01   0.273 0.785229    
## party_fe91        2.895e-01  1.282e-01   2.258 0.024020 *  
## party_fe92        5.019e-01  1.292e-01   3.885 0.000105 ***
## party_fe93        3.715e-01  1.287e-01   2.887 0.003918 ** 
## party_fe94        1.258e-01  1.861e-01   0.676 0.498942    
## party_fe95        2.363e-01  2.483e-01   0.952 0.341359    
## party_fe96        3.328e-01  1.176e-01   2.830 0.004692 ** 
## party_fe97        5.788e-01  1.876e-01   3.086 0.002050 ** 
## party_fe98        4.196e-01  1.872e-01   2.242 0.025056 *  
## party_fe99        3.009e-01  3.399e-01   0.885 0.376140    
## party_fe100       6.532e-01  1.615e-01   4.046 5.38e-05 ***
## party_fe101      -2.232e-01  1.878e-01  -1.188 0.234791    
## party_fe102       6.745e-01  1.306e-01   5.166 2.59e-07 ***
## party_fe103       7.088e-01  1.619e-01   4.377 1.25e-05 ***
## party_fe104       4.196e-01  1.871e-01   2.242 0.025043 *  
## party_fe105       4.799e-01  1.124e-01   4.271 2.02e-05 ***
## party_fe106       3.605e-01  1.191e-01   3.026 0.002503 ** 
## party_fe107       2.421e-01  1.407e-01   1.721 0.085462 .  
## party_fe108      -7.295e-02  1.127e-01  -0.647 0.517406    
## party_fe109       8.327e-03  1.125e-01   0.074 0.941003    
## party_fe110       8.109e-02  2.143e-01   0.378 0.705204    
## party_fe111       2.094e-01  2.526e-01   0.829 0.407131    
## party_fe112       2.938e-02  1.422e-01   0.207 0.836308    
## party_fe113       2.239e-01  1.132e-01   1.979 0.047967 *  
## party_fe114       1.671e-01  1.128e-01   1.480 0.138920    
## party_fe115       7.507e-03  2.489e-01   0.030 0.975938    
## party_fe116       1.267e-01  1.175e-01   1.079 0.280867    
## party_fe117      -2.927e-02  1.376e-01  -0.213 0.831562    
## party_fe118      -3.465e-02  1.132e-01  -0.306 0.759543    
## party_fe119      -3.405e-02  2.111e-01  -0.161 0.871891    
## party_fe120       2.176e-01  1.141e-01   1.907 0.056679 .  
## party_fe121       3.631e-01  1.648e-01   2.204 0.027642 *  
## party_fe122       2.156e-01  1.265e-01   1.705 0.088410 .  
## party_fe123       3.377e-01  1.733e-01   1.948 0.051509 .  
## party_fe124      -6.368e-02  1.302e-01  -0.489 0.624853    
## party_fe125      -4.678e-03  1.094e-01  -0.043 0.965892    
## party_fe126      -6.782e-02  1.176e-01  -0.577 0.564121    
## party_fe127      -2.166e-01  3.397e-01  -0.638 0.523732    
## party_fe128       1.909e-03  1.093e-01   0.017 0.986071    
## party_fe129       3.099e-01  1.739e-01   1.782 0.074917 .  
## party_fe130       2.094e-01  1.100e-01   1.904 0.057068 .  
## party_fe131       4.612e-01  2.122e-01   2.174 0.029810 *  
## party_fe132       1.959e-01  1.099e-01   1.783 0.074736 .  
## party_fe133      -1.814e-02  1.113e-01  -0.163 0.870585    
## party_fe134      -1.510e-01  1.273e-01  -1.185 0.235963    
## party_fe135      -1.055e-01  2.087e-01  -0.505 0.613341    
## party_fe136      -5.133e-02  3.390e-01  -0.151 0.879657    
## party_fe137       2.927e-02  1.084e-01   0.270 0.787170    
## party_fe138       2.140e-01  1.088e-01   1.966 0.049381 *  
## party_fe139       3.726e-01  1.101e-01   3.385 0.000723 ***
## party_fe140       1.011e-01  1.193e-01   0.847 0.396953    
## party_fe141      -4.493e-03  1.683e-01  -0.027 0.978705    
## party_fe142       2.773e-02  1.192e-01   0.233 0.816004    
## party_fe143       2.154e-01  1.205e-01   1.787 0.074116 .  
## party_fe144       8.713e-01  2.120e-01   4.109 4.10e-05 ***
## party_fe145       2.487e-01  1.204e-01   2.065 0.039047 *  
## party_fe146       1.389e-01  1.839e-01   0.755 0.450143    
## party_fe147       1.117e-01  1.509e-01   0.740 0.459382    
## party_fe148       5.350e-02  1.028e-01   0.520 0.602878    
## party_fe149       1.377e-01  1.443e-01   0.954 0.340153    
## party_fe150       1.229e-01  1.030e-01   1.193 0.233039    
## party_fe151       4.604e-01  1.055e-01   4.365 1.32e-05 ***
## party_fe152       2.024e-01  1.284e-01   1.576 0.115072    
## party_fe153       5.483e-02  1.113e-01   0.492 0.622457    
## party_fe154      -9.453e-02  1.333e-01  -0.709 0.478456    
## party_fe155       8.799e-02  1.388e-01   0.634 0.526090    
## party_fe156       5.139e-02  1.035e-01   0.497 0.619511    
## party_fe157       3.108e-01  1.109e-01   2.803 0.005104 ** 
## party_fe158       2.879e-01  1.044e-01   2.756 0.005889 ** 
## party_fe159       1.237e-01  1.040e-01   1.189 0.234419    
## party_fe160       1.085e-01  3.372e-01   0.322 0.747701    
## party_fe161       8.088e-02  3.372e-01   0.240 0.810444    
## party_fe162       1.765e-01  3.372e-01   0.523 0.600795    
## party_fe163       2.008e-01  3.373e-01   0.595 0.551640    
## party_fe164       8.811e-04  2.098e-01   0.004 0.996650    
## party_fe165      -2.236e-01  1.877e-01  -1.191 0.233732    
## party_fe166       3.908e-01  1.885e-01   2.074 0.038222 *  
## party_fe167       3.868e-01  2.104e-01   1.838 0.066139 .  
## party_fe168       3.739e-01  2.103e-01   1.778 0.075572 .  
## party_fe169       1.711e-01  1.877e-01   0.912 0.361999    
## party_fe170       1.149e-01  1.850e-01   0.621 0.534499    
## party_fe171      -3.144e-02  1.586e-01  -0.198 0.842822    
## party_fe172       1.567e-01  1.587e-01   0.988 0.323415    
## party_fe173       3.802e-01  1.614e-01   2.355 0.018589 *  
## party_fe174       3.066e-01  1.849e-01   1.658 0.097387 .  
## party_fe175       3.653e-01  3.377e-01   1.082 0.279537    
## party_fe176       4.909e-01  3.381e-01   1.452 0.146645    
## party_fe177       1.762e-01  2.096e-01   0.841 0.400595    
## party_fe178       2.083e-01  1.604e-01   1.299 0.193967    
## party_fe179      -5.660e-02  1.600e-01  -0.354 0.723564    
## party_fe180       4.128e-01  1.610e-01   2.564 0.010412 *  
## party_fe181       4.061e-01  1.608e-01   2.526 0.011598 *  
## party_fe182       5.886e-01  2.478e-01   2.375 0.017607 *  
## party_fe183       2.568e-01  1.845e-01   1.392 0.164062    
## party_fe184       2.298e-01  1.584e-01   1.451 0.146926    
## party_fe185       5.301e-02  1.844e-01   0.287 0.773755    
## party_fe186       1.394e-01  1.582e-01   0.881 0.378324    
## party_fe187       4.416e-01  1.694e-01   2.607 0.009179 ** 
## party_fe188       4.956e-01  1.693e-01   2.928 0.003443 ** 
## party_fe189       2.278e-01  3.402e-01   0.670 0.503080    
## party_fe190       2.633e-01  3.402e-01   0.774 0.438997    
## party_fe191       1.451e-01  3.400e-01   0.427 0.669552    
## party_fe192       2.986e-01  3.403e-01   0.877 0.380385    
## party_fe193       3.012e-01  3.403e-01   0.885 0.376159    
## party_fe194       3.348e-01  3.404e-01   0.984 0.325446    
## party_fe195       2.177e-01  3.414e-01   0.637 0.523869    
## party_fe196       3.679e-01  1.654e-01   2.224 0.026270 *  
## party_fe197       3.221e-01  1.657e-01   1.944 0.051988 .  
## party_fe198       9.708e-02  2.510e-01   0.387 0.698957    
## party_fe199       3.302e-01  2.542e-01   1.299 0.194035    
## party_fe200       2.418e-01  2.539e-01   0.952 0.340982    
## party_fe201       1.249e-01  3.371e-01   0.371 0.710950    
## party_fe202       1.624e-01  3.371e-01   0.482 0.630117    
## party_fe203      -5.852e-02  1.578e-01  -0.371 0.710803    
## party_fe204       4.490e-01  3.377e-01   1.329 0.183825    
## party_fe205       4.834e-01  1.605e-01   3.013 0.002617 ** 
## party_fe206       8.191e-02  1.589e-01   0.515 0.606326    
## party_fe207       4.074e-01  1.846e-01   2.207 0.027409 *  
## party_fe208       2.709e-01  1.586e-01   1.708 0.087733 .  
## party_fe209       1.197e-01  1.595e-01   0.751 0.452837    
## party_fe210       1.755e-01  1.596e-01   1.099 0.271666    
## party_fe211       3.088e-01  1.595e-01   1.937 0.052898 .  
## party_fe212       9.758e-02  2.466e-01   0.396 0.692325    
## party_fe213       2.473e-01  1.597e-01   1.548 0.121690    
## party_fe214       1.805e-01  1.596e-01   1.131 0.257965    
## party_fe215       3.851e-01  1.606e-01   2.398 0.016578 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8763 
## F-statistic:  77.4 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb59"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb59-1" data-line-number="1"><span class="kw">stargazer</span>(model1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:33
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.438$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.028$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsameparfam\_soc &amp; 0.00001 \\ 
##   &amp; (0.0002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.017 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.054 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.110 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.121$^{*}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.089 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.116$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.044 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.173$^{***}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.139$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.016 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.087 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.076 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.116 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.116 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.187$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.149$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.143$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.095 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.099 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.130 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.106 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.077 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.125 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.075 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.048 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.064 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.037 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.067 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.079 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.457$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.129 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.018 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.114 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.168 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.338$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.149 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.118 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.250$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.061 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.151 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.060 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.101 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.488$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.401$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.429$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.571$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.004 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.216$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.004 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.121 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.334 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.081 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.165 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.224 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.107 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.021 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.079 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.354$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.153 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.312$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.148 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.762$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.161 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.159 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.079 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.080 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.107 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.182$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.397$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.164 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.213$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.124 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.514$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.163 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.090 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.012 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.140 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.051 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.273$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.208 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.017 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.272$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.168 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.065 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.192 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.011 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.244 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.158 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.335$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.366$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.263$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.102 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.616$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.400 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.105 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.105 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.032 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.085 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.044 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.042 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.580$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.044 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.290$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.502$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.371$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.236 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.333$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.579$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.301 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.653$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.223 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.675$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.709$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.480$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.361$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.242$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.008 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.081 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.209 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.029 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.224$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.167 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.008 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.127 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.029 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.035 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.034 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.218$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.363$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.338$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.064 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.068 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.217 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.002 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.310$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.209$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.461$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.196$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.151 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.105 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.051 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.029 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.373$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.004 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.028 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.871$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.249$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.139 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.112 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.053 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.138 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.123 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.202 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.055 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.095 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.088 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.311$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.288$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.124 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.108 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.081 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.176 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.201 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.001 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.224 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.391$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.387$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.374$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.171 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.115 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.031 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.157 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.380$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.365 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.491 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.176 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.208 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.057 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.589$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.257 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.230 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.053 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.496$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.228 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.263 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.145 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.299 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.301 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.335 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.218 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.368$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.322$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.097 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.330 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.242 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.125 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.162 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.059 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.449 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.483$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.082 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.271$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.120 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.175 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.098 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.247 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.181 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.385$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.021 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.402$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb61"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb61-1" data-line-number="1"><span class="co">#Model 2 in Table S4</span></a>
<a class="sourceLine" id="cb61-2" data-line-number="2"></a>
<a class="sourceLine" id="cb61-3" data-line-number="3">model2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsameparfam_ruled_soc + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb61-4" data-line-number="4"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + </span></a>
<a class="sourceLine" id="cb61-5" data-line-number="5"><span class="st">                          year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb61-6" data-line-number="6"><span class="st">                          year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb61-7" data-line-number="7"></a>
<a class="sourceLine" id="cb61-8" data-line-number="8">model2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model2, <span class="dt">data =</span> dataframe_soc)</a>
<a class="sourceLine" id="cb61-9" data-line-number="9"><span class="kw">summary</span>(model2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model2, data = dataframe_soc)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93559 -0.09673 -0.00212  0.10640  2.08271 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -1.0068658  0.8199775  -1.228 0.219595    
## lag_rile                0.7513480  0.0128954  58.265  &lt; 2e-16 ***
## lag_cmedian             0.4338706  0.1580783   2.745 0.006101 ** 
## lag_econ_glob           0.0274144  0.0112574   2.435 0.014952 *  
## interaction            -0.0057453  0.0021146  -2.717 0.006634 ** 
## spsameparfam_ruled_soc -0.0002503  0.0003782  -0.662 0.508161    
## year_fe2                0.0485972  0.0684255   0.710 0.477634    
## year_fe3                0.0207982  0.0669360   0.311 0.756042    
## year_fe4                0.0537069  0.0671310   0.800 0.423770    
## year_fe5                0.1101911  0.0672550   1.638 0.101465    
## year_fe6                0.1259751  0.0676045   1.863 0.062523 .  
## year_fe7                0.0889818  0.0674962   1.318 0.187518    
## year_fe8                0.1160487  0.0666283   1.742 0.081680 .  
## year_fe9                0.0523481  0.0681322   0.768 0.442364    
## year_fe10               0.1446780  0.0651333   2.221 0.026424 *  
## year_fe11               0.1420423  0.0650739   2.183 0.029146 *  
## year_fe12               0.1440522  0.0644896   2.234 0.025590 *  
## year_fe13               0.1778205  0.0656013   2.711 0.006762 ** 
## year_fe14               0.1422649  0.0669910   2.124 0.033799 *  
## year_fe15              -0.0137968  0.0677117  -0.204 0.838559    
## year_fe16               0.0894148  0.0689508   1.297 0.194824    
## year_fe17               0.0766746  0.0690363   1.111 0.266831    
## year_fe18               0.1200916  0.0708571   1.695 0.090231 .  
## year_fe19               0.1204056  0.0725014   1.661 0.096894 .  
## year_fe20               0.1857036  0.0709165   2.619 0.008883 ** 
## year_fe21               0.1523097  0.0730063   2.086 0.037058 *  
## year_fe22               0.1440270  0.0761823   1.891 0.058801 .  
## year_fe23               0.0942125  0.0787051   1.197 0.231410    
## year_fe24               0.1008544  0.0793759   1.271 0.203994    
## year_fe25               0.1322342  0.0842956   1.569 0.116847    
## year_fe26               0.1071289  0.0825525   1.298 0.194510    
## year_fe27               0.0752515  0.0803716   0.936 0.349213    
## year_fe28               0.1235916  0.0803303   1.539 0.124044    
## year_fe29               0.0750828  0.0807685   0.930 0.352667    
## year_fe30               0.0474532  0.0777778   0.610 0.541844    
## year_fe31               0.0649749  0.0798888   0.813 0.416115    
## year_fe32               0.0374781  0.0814880   0.460 0.645613    
## year_fe33               0.0684812  0.0786599   0.871 0.384058    
## year_fe34               0.0799672  0.0780142   1.025 0.305448    
## party_fe2              -0.0877257  0.1188298  -0.738 0.460435    
## party_fe3              -0.0090157  0.1188581  -0.076 0.939542    
## party_fe4               0.3030652  0.1201151   2.523 0.011694 *  
## party_fe5               0.2917438  0.1196277   2.439 0.014808 *  
## party_fe6               0.4566368  0.1221214   3.739 0.000189 ***
## party_fe7              -0.1271158  0.1440827  -0.882 0.377732    
## party_fe8              -0.0161140  0.1439007  -0.112 0.910848    
## party_fe9               0.1164741  0.1437574   0.810 0.417896    
## party_fe10              0.1701410  0.1437665   1.183 0.236744    
## party_fe11              0.3407192  0.1444023   2.360 0.018376 *  
## party_fe12              0.1513467  0.2065937   0.733 0.463884    
## party_fe13             -0.1187421  0.1348624  -0.880 0.378691    
## party_fe14             -0.2520019  0.1315052  -1.916 0.055444 .  
## party_fe15             -0.0599935  0.1174116  -0.511 0.609420    
## party_fe16             -0.1501660  0.1015968  -1.478 0.139520    
## party_fe17              0.0612008  0.1014249   0.603 0.546292    
## party_fe18              0.4200421  0.1095360   3.835 0.000129 ***
## party_fe19              0.1022163  0.1016333   1.006 0.314641    
## party_fe20              0.4887341  0.1048229   4.662 3.29e-06 ***
## party_fe21              0.4020453  0.1060873   3.790 0.000154 ***
## party_fe22              0.4302712  0.1042001   4.129 3.76e-05 ***
## party_fe23              0.5716559  0.1295441   4.413 1.06e-05 ***
## party_fe24              0.0057790  0.1185128   0.049 0.961112    
## party_fe25             -0.2143773  0.1187035  -1.806 0.071042 .  
## party_fe26             -0.0032363  0.1185067  -0.027 0.978215    
## party_fe27              0.1278239  0.3394733   0.377 0.706551    
## party_fe28              0.3352244  0.2085591   1.607 0.108109    
## party_fe29              0.2530607  0.1199450   2.110 0.034976 *  
## party_fe30              0.2535815  0.1198570   2.116 0.034470 *  
## party_fe31              0.0808485  0.1053661   0.767 0.442970    
## party_fe32              0.1636278  0.1054913   1.551 0.121006    
## party_fe33              0.2219707  0.1581942   1.403 0.160697    
## party_fe34              0.1076463  0.1056409   1.019 0.308311    
## party_fe35              0.0212452  0.1036056   0.205 0.837544    
## party_fe36              0.0891365  0.2463346   0.362 0.717494    
## party_fe37              0.3540645  0.1044351   3.390 0.000709 ***
## party_fe38              0.3617458  0.1186416   3.049 0.002320 ** 
## party_fe39              0.1501481  0.2071612   0.725 0.468651    
## party_fe40              0.3113757  0.1873542   1.662 0.096647 .  
## party_fe41              0.1480407  0.2069669   0.715 0.474500    
## party_fe42              0.1637549  0.1498385   1.093 0.274555    
## party_fe43              0.7693459  0.2097744   3.667 0.000250 ***
## party_fe44              0.3092913  0.1037629   2.981 0.002904 ** 
## party_fe45              0.1606468  0.1031644   1.557 0.119553    
## party_fe46              0.1573494  0.1115047   1.411 0.158328    
## party_fe47              0.0767709  0.1180171   0.651 0.515426    
## party_fe48              0.0797769  0.1294905   0.616 0.537897    
## party_fe49              0.1063307  0.1031083   1.031 0.302523    
## party_fe50              0.1807566  0.1032699   1.750 0.080185 .  
## party_fe51              0.3958353  0.1051399   3.765 0.000171 ***
## party_fe52             -0.1657770  0.2067562  -0.802 0.422746    
## party_fe53              0.2116950  0.1040505   2.035 0.042004 *  
## party_fe54              0.1212542  0.1858546   0.652 0.514195    
## party_fe55              0.5118775  0.1452156   3.525 0.000431 ***
## party_fe56              0.1616636  0.2072373   0.780 0.435413    
## party_fe57              0.4144813  0.1876816   2.208 0.027306 *  
## party_fe58              0.0871065  0.1887151   0.462 0.644426    
## party_fe59              0.0112160  0.1448762   0.077 0.938298    
## party_fe60              0.1363250  0.1409536   0.967 0.333558    
## party_fe61              0.0474408  0.1582643   0.300 0.764388    
## party_fe62             -0.2747223  0.1264371  -2.173 0.029890 *  
## party_fe63             -0.2107315  0.3375936  -0.624 0.532543    
## party_fe64              0.0148402  0.1072715   0.138 0.889981    
## party_fe65              0.2699945  0.1080583   2.499 0.012533 *  
## party_fe66              0.1660276  0.1075345   1.544 0.122729    
## party_fe67             -0.0652524  0.1227060  -0.532 0.594928    
## party_fe68              0.1911044  0.1895042   1.008 0.313340    
## party_fe69             -0.1626116  0.1115676  -1.458 0.145101    
## party_fe70             -0.0102869  0.1112900  -0.092 0.926361    
## party_fe71              0.2453792  0.3444340   0.712 0.476277    
## party_fe72              0.1592215  0.3443335   0.462 0.643832    
## party_fe73              0.3365235  0.1188972   2.830 0.004687 ** 
## party_fe74              0.3688012  0.1299330   2.838 0.004571 ** 
## party_fe75              0.2646271  0.1126276   2.350 0.018873 *  
## party_fe76              0.1058812  0.1475485   0.718 0.473070    
## party_fe77              0.6163941  0.1195941   5.154 2.75e-07 ***
## party_fe78              0.4063256  0.2490406   1.632 0.102899    
## party_fe79              0.1043553  0.1265542   0.825 0.409684    
## party_fe80              0.1255768  0.1860408   0.675 0.499742    
## party_fe81              0.1074672  0.1459527   0.736 0.461609    
## party_fe82             -0.0307438  0.1523215  -0.202 0.840062    
## party_fe83             -0.0850272  0.1225921  -0.694 0.488012    
## party_fe84              0.0475977  0.1602984   0.297 0.766543    
## party_fe85              0.1643693  0.1121878   1.465 0.143014    
## party_fe86              0.0535165  0.3384945   0.158 0.874390    
## party_fe87              0.5906353  0.1202766   4.911 9.67e-07 ***
## party_fe88              0.2438046  0.1242980   1.961 0.049939 *  
## party_fe89              0.5783226  0.1875336   3.084 0.002066 ** 
## party_fe90              0.0474957  0.1602931   0.296 0.767022    
## party_fe91              0.2890462  0.1282005   2.255 0.024243 *  
## party_fe92              0.5016791  0.1291704   3.884 0.000106 ***
## party_fe93              0.3710821  0.1286448   2.885 0.003954 ** 
## party_fe94              0.1290349  0.1860977   0.693 0.488142    
## party_fe95              0.2345988  0.2482720   0.945 0.344789    
## party_fe96              0.3316953  0.1175752   2.821 0.004824 ** 
## party_fe97              0.5771036  0.1875241   3.077 0.002110 ** 
## party_fe98              0.4229150  0.1871715   2.260 0.023939 *  
## party_fe99              0.3028214  0.3397277   0.891 0.372820    
## party_fe100             0.6522393  0.1614552   4.040 5.51e-05 ***
## party_fe101            -0.2168329  0.1878584  -1.154 0.248515    
## party_fe102             0.6760010  0.1305747   5.177 2.44e-07 ***
## party_fe103             0.7108603  0.1619346   4.390 1.18e-05 ***
## party_fe104             0.4237033  0.1872061   2.263 0.023704 *  
## party_fe105             0.4797384  0.1123529   4.270 2.03e-05 ***
## party_fe106             0.3618312  0.1191212   3.038 0.002410 ** 
## party_fe107             0.2440290  0.1406942   1.734 0.082961 .  
## party_fe108            -0.0725113  0.1126629  -0.644 0.519886    
## party_fe109             0.0092180  0.1124816   0.082 0.934692    
## party_fe110             0.0791539  0.2143108   0.369 0.711905    
## party_fe111             0.2074815  0.2526009   0.821 0.411509    
## party_fe112             0.0297176  0.1421874   0.209 0.834463    
## party_fe113             0.2255950  0.1131326   1.994 0.046254 *  
## party_fe114             0.1675258  0.1128340   1.485 0.137748    
## party_fe115             0.0135056  0.2488754   0.054 0.956727    
## party_fe116             0.1269565  0.1174512   1.081 0.279834    
## party_fe117            -0.0282256  0.1375820  -0.205 0.837468    
## party_fe118            -0.0343009  0.1131909  -0.303 0.761888    
## party_fe119            -0.0351876  0.2111079  -0.167 0.867635    
## party_fe120             0.2177395  0.1141285   1.908 0.056527 .  
## party_fe121             0.3646261  0.1647599   2.213 0.026984 *  
## party_fe122             0.2142962  0.1264795   1.694 0.090332 .  
## party_fe123             0.3361908  0.1733141   1.940 0.052521 .  
## party_fe124            -0.0645468  0.1301891  -0.496 0.620085    
## party_fe125            -0.0052774  0.1093666  -0.048 0.961518    
## party_fe126            -0.0678750  0.1175604  -0.577 0.563747    
## party_fe127            -0.2191404  0.3396507  -0.645 0.518862    
## party_fe128             0.0016045  0.1093242   0.015 0.988292    
## party_fe129             0.3086735  0.1738989   1.775 0.076018 .  
## party_fe130             0.2092416  0.1099852   1.902 0.057228 .  
## party_fe131             0.4609789  0.2121446   2.173 0.029879 *  
## party_fe132             0.1956859  0.1098528   1.781 0.074979 .  
## party_fe133            -0.0179942  0.1113194  -0.162 0.871599    
## party_fe134            -0.1492445  0.1273561  -1.172 0.241363    
## party_fe135            -0.1064567  0.2087124  -0.510 0.610052    
## party_fe136            -0.0523220  0.3389398  -0.154 0.877331    
## party_fe137             0.0297362  0.1083787   0.274 0.783821    
## party_fe138             0.2142642  0.1088341   1.969 0.049097 *  
## party_fe139             0.3733314  0.1100842   3.391 0.000707 ***
## party_fe140             0.1008502  0.1193034   0.845 0.398011    
## party_fe141            -0.0062256  0.1682683  -0.037 0.970490    
## party_fe142             0.0274306  0.1191478   0.230 0.817937    
## party_fe143             0.2155193  0.1205299   1.788 0.073883 .  
## party_fe144             0.8718879  0.2119956   4.113 4.04e-05 ***
## party_fe145             0.2492016  0.1204254   2.069 0.038618 *  
## party_fe146             0.1365090  0.1838339   0.743 0.457815    
## party_fe147             0.1121424  0.1509206   0.743 0.457519    
## party_fe148             0.0535345  0.1028030   0.521 0.602589    
## party_fe149             0.1362678  0.1442788   0.944 0.345019    
## party_fe150             0.1226178  0.1029850   1.191 0.233911    
## party_fe151             0.4601270  0.1054563   4.363 1.33e-05 ***
## party_fe152             0.2015620  0.1283723   1.570 0.116512    
## party_fe153             0.0534788  0.1113258   0.480 0.630999    
## party_fe154            -0.0963521  0.1333260  -0.723 0.469945    
## party_fe155             0.0851675  0.1387989   0.614 0.539534    
## party_fe156             0.0498719  0.1034712   0.482 0.629857    
## party_fe157             0.3102534  0.1108743   2.798 0.005178 ** 
## party_fe158             0.2874613  0.1044257   2.753 0.005952 ** 
## party_fe159             0.1232702  0.1040315   1.185 0.236159    
## party_fe160             0.1063041  0.3371436   0.315 0.752554    
## party_fe161             0.0786969  0.3371283   0.233 0.815444    
## party_fe162             0.1743489  0.3372072   0.517 0.605176    
## party_fe163             0.1986809  0.3372389   0.589 0.555821    
## party_fe164             0.0112079  0.2100595   0.053 0.957453    
## party_fe165            -0.2168080  0.1877973  -1.154 0.248416    
## party_fe166             0.3930642  0.1884682   2.086 0.037120 *  
## party_fe167             0.3903974  0.2103421   1.856 0.063571 .  
## party_fe168             0.3778716  0.2102982   1.797 0.072484 .  
## party_fe169             0.1733181  0.1876435   0.924 0.355756    
## party_fe170             0.1222802  0.1849789   0.661 0.508643    
## party_fe171            -0.0259654  0.1586818  -0.164 0.870034    
## party_fe172             0.1590915  0.1586831   1.003 0.316165    
## party_fe173             0.3779428  0.1614029   2.342 0.019280 *  
## party_fe174             0.3040227  0.1848705   1.645 0.100197    
## party_fe175             0.3633003  0.3376670   1.076 0.282071    
## party_fe176             0.4890083  0.3380702   1.446 0.148173    
## party_fe177             0.1727331  0.2095543   0.824 0.409856    
## party_fe178             0.2052614  0.1603205   1.280 0.200553    
## party_fe179            -0.0597315  0.1599644  -0.373 0.708879    
## party_fe180             0.4097641  0.1609735   2.546 0.010971 *  
## party_fe181             0.4030656  0.1607359   2.508 0.012218 *  
## party_fe182             0.5861943  0.2477500   2.366 0.018055 *  
## party_fe183             0.2570760  0.1844676   1.394 0.163561    
## party_fe184             0.2319359  0.1583799   1.464 0.143205    
## party_fe185             0.0499202  0.1843468   0.271 0.786571    
## party_fe186             0.1388885  0.1582252   0.878 0.380143    
## party_fe187             0.4421265  0.1693564   2.611 0.009092 ** 
## party_fe188             0.4956575  0.1692541   2.928 0.003437 ** 
## party_fe189             0.2265059  0.3401140   0.666 0.505492    
## party_fe190             0.2620365  0.3401775   0.770 0.441200    
## party_fe191             0.1437862  0.3400046   0.423 0.672409    
## party_fe192             0.2972718  0.3402504   0.874 0.382375    
## party_fe193             0.2999360  0.3402563   0.882 0.378133    
## party_fe194             0.3335039  0.3403356   0.980 0.327218    
## party_fe195             0.2177605  0.3414159   0.638 0.523653    
## party_fe196             0.3696760  0.1654387   2.235 0.025538 *  
## party_fe197             0.3264347  0.1657041   1.970 0.048952 *  
## party_fe198             0.0968530  0.2509751   0.386 0.699599    
## party_fe199             0.3359209  0.2542451   1.321 0.186541    
## party_fe200             0.2407903  0.2538118   0.949 0.342868    
## party_fe201             0.1233152  0.3370374   0.366 0.714486    
## party_fe202             0.1607623  0.3370709   0.477 0.633448    
## party_fe203            -0.0583868  0.1578067  -0.370 0.711422    
## party_fe204             0.4475268  0.3376977   1.325 0.185218    
## party_fe205             0.4816550  0.1604372   3.002 0.002708 ** 
## party_fe206             0.0800869  0.1589091   0.504 0.614321    
## party_fe207             0.4088270  0.1845777   2.215 0.026856 *  
## party_fe208             0.2715385  0.1585771   1.712 0.086959 .  
## party_fe209             0.1204001  0.1594369   0.755 0.450226    
## party_fe210             0.1767517  0.1595789   1.108 0.268137    
## party_fe211             0.3074263  0.1594497   1.928 0.053964 .  
## party_fe212             0.0955883  0.2465402   0.388 0.698258    
## party_fe213             0.2459087  0.1597024   1.540 0.123739    
## party_fe214             0.1791256  0.1595332   1.123 0.261627    
## party_fe215             0.3838066  0.1606044   2.390 0.016934 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.42 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb63"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb63-1" data-line-number="1"><span class="kw">stargazer</span>(model2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:37
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.434$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.027$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsameparfam\_ruled\_soc &amp; $-$0.0003 \\ 
##   &amp; (0.0004) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.049 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.021 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.054 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.110 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.126$^{*}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.089 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.116$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.052 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.145$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.178$^{***}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.014 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.089 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.077 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.186$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.152$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.144$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.094 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.101 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.132 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.107 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.075 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.124 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.075 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.047 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.065 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.037 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.068 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.080 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.457$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.127 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.016 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.116 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.170 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.341$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.151 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.119 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.252$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.060 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.150 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.061 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.420$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.102 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.489$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.402$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.572$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.006 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.214$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.003 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.128 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.335 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.081 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.164 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.222 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.108 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.021 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.089 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.354$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.150 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.311$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.148 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.164 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.769$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.309$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.161 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.157 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.077 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.080 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.106 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.166 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.212$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.121 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.512$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.162 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.414$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.087 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.011 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.136 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.047 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.275$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.211 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.015 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.270$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.166 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.065 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.191 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.163 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.010 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.245 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.159 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.337$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.265$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.106 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.616$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.406 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.104 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.107 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.031 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.085 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.048 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.054 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.591$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.578$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.047 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.289$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.502$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.371$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.129 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.235 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.332$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.577$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.423$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.303 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.652$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.217 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.676$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.711$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.424$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.480$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.244$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.009 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.079 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.207 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.030 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.226$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.168 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.014 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.127 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.028 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.034 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.035 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.218$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.365$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.214$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.336$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.065 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.068 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.219 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.002 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.209$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.461$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.196$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.149 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.106 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.052 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.030 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.373$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.006 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.027 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.872$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.249$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.137 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.112 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.054 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.136 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.123 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.460$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.202 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.053 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.096 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.085 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.050 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.287$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.123 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.106 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.079 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.174 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.199 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.011 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.217 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.393$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.390$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.378$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.173 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.122 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.026 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.159 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.378$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.304 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.363 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.489 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.173 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.205 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.060 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.410$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.403$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.586$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.257 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.232 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.050 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.496$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.227 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.262 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.144 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.297 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.300 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.334 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.218 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.370$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.326$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.097 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.336 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.241 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.123 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.161 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.058 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.448 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.482$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.080 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.409$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.272$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.120 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.177 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.096 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.246 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.179 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.384$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.007 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.418$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="figure-s2" class="section level2">
<h2>Figure S2</h2>
<div class="sourceCode" id="cb65"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb65-1" data-line-number="1"><span class="co"># load datasets </span></a>
<a class="sourceLine" id="cb65-2" data-line-number="2"></a>
<a class="sourceLine" id="cb65-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_zelig.RData&quot;</span>)</a>
<a class="sourceLine" id="cb65-4" data-line-number="4"></a>
<a class="sourceLine" id="cb65-5" data-line-number="5"><span class="co"># left panel </span></a>
<a class="sourceLine" id="cb65-6" data-line-number="6"></a>
<a class="sourceLine" id="cb65-7" data-line-number="7">model1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + </span></a>
<a class="sourceLine" id="cb65-8" data-line-number="8"><span class="st">year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb65-9" data-line-number="9"></a>
<a class="sourceLine" id="cb65-10" data-line-number="10">z1 &lt;-<span class="st"> </span><span class="kw">zelig</span>(model1, <span class="dt">data =</span> dataframe_zelig, <span class="dt">model =</span> <span class="st">&quot;ls&quot;</span>)</a></code></pre></div>
<pre><code>## How to cite this model in Zelig:
##   R Core Team. 2007.
##   ls: Least Squares Regression for Continuous Dependent Variables
##   in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
##   &quot;Zelig: Everyone's Statistical Software,&quot; http://zeligproject.org/</code></pre>
<div class="sourceCode" id="cb67"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb67-1" data-line-number="1">z1 &lt;-<span class="st"> </span><span class="kw">setx</span>(z1, <span class="dt">spsamegroup_ruled  =</span> <span class="fl">0.00</span>)</a>
<a class="sourceLine" id="cb67-2" data-line-number="2">z1 &lt;-<span class="st"> </span><span class="kw">setx1</span>(z1, <span class="dt">spsamegroup_ruled =</span> <span class="fl">47.39</span>)</a>
<a class="sourceLine" id="cb67-3" data-line-number="3">z1.out &lt;-<span class="st"> </span><span class="kw">sim</span>(z1)</a>
<a class="sourceLine" id="cb67-4" data-line-number="4"></a>
<a class="sourceLine" id="cb67-5" data-line-number="5">x &lt;-<span class="st"> </span>z1.out<span class="op">$</span><span class="kw">get_qi</span>(<span class="dt">qi =</span> <span class="st">&quot;ev&quot;</span>, <span class="dt">xvalue=</span><span class="st">&quot;x&quot;</span>)</a>
<a class="sourceLine" id="cb67-6" data-line-number="6">x1 &lt;-<span class="st"> </span>z1.out<span class="op">$</span><span class="kw">get_qi</span>(<span class="dt">qi =</span> <span class="st">&quot;ev&quot;</span>, <span class="dt">xvalue=</span><span class="st">&quot;x1&quot;</span>)</a>
<a class="sourceLine" id="cb67-7" data-line-number="7"></a>
<a class="sourceLine" id="cb67-8" data-line-number="8">y &lt;-<span class="st"> </span>x<span class="op">-</span>x1</a>
<a class="sourceLine" id="cb67-9" data-line-number="9"></a>
<a class="sourceLine" id="cb67-10" data-line-number="10">xd &lt;-<span class="st"> </span><span class="kw">density</span>(x)</a>
<a class="sourceLine" id="cb67-11" data-line-number="11">xd1 &lt;-<span class="st"> </span><span class="kw">density</span>(x1)</a>
<a class="sourceLine" id="cb67-12" data-line-number="12"></a>
<a class="sourceLine" id="cb67-13" data-line-number="13"><span class="kw">plot</span>(xd, <span class="dt">main=</span><span class="st">&quot;&quot;</span>, <span class="dt">sub=</span><span class="st">&quot;&quot;</span>,</a>
<a class="sourceLine" id="cb67-14" data-line-number="14">     <span class="dt">xlab=</span><span class="st">&quot;&quot;</span>, <span class="dt">ylab=</span><span class="st">&quot;&quot;</span>,<span class="dt">frame.plot=</span><span class="ot">FALSE</span>,</a>
<a class="sourceLine" id="cb67-15" data-line-number="15">     <span class="dt">xlim=</span><span class="kw">c</span>(<span class="fl">5.2</span>, <span class="fl">5.5</span>), <span class="dt">ylim=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">60</span>), <span class="dt">cex.axis=</span><span class="dv">1</span>, <span class="dt">las=</span><span class="dv">1</span>)</a>
<a class="sourceLine" id="cb67-16" data-line-number="16"><span class="kw">par</span>(<span class="dt">new=</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb67-17" data-line-number="17"><span class="kw">plot</span>(xd1, <span class="dt">main=</span><span class="st">&quot;&quot;</span>, <span class="dt">sub=</span><span class="st">&quot;&quot;</span>,</a>
<a class="sourceLine" id="cb67-18" data-line-number="18">     <span class="dt">xlab=</span><span class="st">&quot;&quot;</span>, <span class="dt">ylab=</span><span class="st">&quot;&quot;</span>,<span class="dt">frame.plot=</span><span class="ot">FALSE</span>,</a>
<a class="sourceLine" id="cb67-19" data-line-number="19">     <span class="dt">xlim=</span><span class="kw">c</span>(<span class="fl">5.2</span>, <span class="fl">5.5</span>), <span class="dt">ylim=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">60</span>), <span class="dt">cex.axis=</span><span class="dv">1</span>, <span class="dt">las=</span><span class="dv">1</span>)</a>
<a class="sourceLine" id="cb67-20" data-line-number="20"><span class="kw">polygon</span>(xd, <span class="dt">col =</span> <span class="st">&quot;darkgray&quot;</span>, <span class="dt">border =</span> <span class="st">&quot;darkgray&quot;</span>)</a>
<a class="sourceLine" id="cb67-21" data-line-number="21"><span class="kw">par</span>(<span class="dt">new=</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb67-22" data-line-number="22"><span class="kw">polygon</span>(xd1, <span class="dt">col =</span> <span class="st">&quot;lightgray&quot;</span>, <span class="dt">border =</span> <span class="st">&quot;lightgray&quot;</span>)</a></code></pre></div>
<p><img 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" width="960" /></p>
<div class="sourceCode" id="cb68"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb68-1" data-line-number="1"><span class="co"># left panel </span></a>
<a class="sourceLine" id="cb68-2" data-line-number="2"></a>
<a class="sourceLine" id="cb68-3" data-line-number="3">model2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spdiffgroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + </span></a>
<a class="sourceLine" id="cb68-4" data-line-number="4"><span class="st">year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb68-5" data-line-number="5"></a>
<a class="sourceLine" id="cb68-6" data-line-number="6">z1 &lt;-<span class="st"> </span><span class="kw">zelig</span>(model2, <span class="dt">data =</span> dataframe_zelig, <span class="dt">model =</span> <span class="st">&quot;ls&quot;</span>)</a></code></pre></div>
<pre><code>## How to cite this model in Zelig:
##   R Core Team. 2007.
##   ls: Least Squares Regression for Continuous Dependent Variables
##   in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
##   &quot;Zelig: Everyone's Statistical Software,&quot; http://zeligproject.org/</code></pre>
<div class="sourceCode" id="cb70"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb70-1" data-line-number="1">z1 &lt;-<span class="st"> </span><span class="kw">setx</span>(z1, <span class="dt">spdiffgroup_ruled  =</span> <span class="fl">0.00</span>)</a>
<a class="sourceLine" id="cb70-2" data-line-number="2">z1 &lt;-<span class="st"> </span><span class="kw">setx1</span>(z1, <span class="dt">spdiffgroup_ruled =</span> <span class="fl">129.97</span>)</a>
<a class="sourceLine" id="cb70-3" data-line-number="3">z1.out &lt;-<span class="st"> </span><span class="kw">sim</span>(z1)</a>
<a class="sourceLine" id="cb70-4" data-line-number="4"></a>
<a class="sourceLine" id="cb70-5" data-line-number="5">x &lt;-<span class="st"> </span>z1.out<span class="op">$</span><span class="kw">get_qi</span>(<span class="dt">qi =</span> <span class="st">&quot;ev&quot;</span>, <span class="dt">xvalue=</span><span class="st">&quot;x&quot;</span>)</a>
<a class="sourceLine" id="cb70-6" data-line-number="6">x1 &lt;-<span class="st"> </span>z1.out<span class="op">$</span><span class="kw">get_qi</span>(<span class="dt">qi =</span> <span class="st">&quot;ev&quot;</span>, <span class="dt">xvalue=</span><span class="st">&quot;x1&quot;</span>)</a>
<a class="sourceLine" id="cb70-7" data-line-number="7"></a>
<a class="sourceLine" id="cb70-8" data-line-number="8">y &lt;-<span class="st"> </span>x<span class="op">-</span>x1</a>
<a class="sourceLine" id="cb70-9" data-line-number="9"></a>
<a class="sourceLine" id="cb70-10" data-line-number="10">xd &lt;-<span class="st"> </span><span class="kw">density</span>(x)</a>
<a class="sourceLine" id="cb70-11" data-line-number="11">xd1 &lt;-<span class="st"> </span><span class="kw">density</span>(x1)</a>
<a class="sourceLine" id="cb70-12" data-line-number="12"></a>
<a class="sourceLine" id="cb70-13" data-line-number="13"><span class="kw">plot</span>(xd, <span class="dt">main=</span><span class="st">&quot;&quot;</span>, <span class="dt">sub=</span><span class="st">&quot;&quot;</span>,</a>
<a class="sourceLine" id="cb70-14" data-line-number="14">     <span class="dt">xlab=</span><span class="st">&quot;&quot;</span>, <span class="dt">ylab=</span><span class="st">&quot;&quot;</span>,<span class="dt">frame.plot=</span><span class="ot">FALSE</span>,</a>
<a class="sourceLine" id="cb70-15" data-line-number="15">     <span class="dt">xlim=</span><span class="kw">c</span>(<span class="fl">5.2</span>, <span class="fl">5.5</span>), <span class="dt">ylim=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">60</span>), <span class="dt">cex.axis=</span><span class="dv">1</span>, <span class="dt">las=</span><span class="dv">1</span>)</a>
<a class="sourceLine" id="cb70-16" data-line-number="16"><span class="kw">par</span>(<span class="dt">new=</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb70-17" data-line-number="17"><span class="kw">plot</span>(xd1, <span class="dt">main=</span><span class="st">&quot;&quot;</span>, <span class="dt">sub=</span><span class="st">&quot;&quot;</span>,</a>
<a class="sourceLine" id="cb70-18" data-line-number="18">     <span class="dt">xlab=</span><span class="st">&quot;&quot;</span>, <span class="dt">ylab=</span><span class="st">&quot;&quot;</span>,<span class="dt">frame.plot=</span><span class="ot">FALSE</span>,</a>
<a class="sourceLine" id="cb70-19" data-line-number="19">     <span class="dt">xlim=</span><span class="kw">c</span>(<span class="fl">5.2</span>, <span class="fl">5.5</span>), <span class="dt">ylim=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">60</span>), <span class="dt">cex.axis=</span><span class="dv">1</span>, <span class="dt">las=</span><span class="dv">1</span>)</a>
<a class="sourceLine" id="cb70-20" data-line-number="20"><span class="kw">polygon</span>(xd, <span class="dt">col =</span> <span class="st">&quot;darkgray&quot;</span>, <span class="dt">border =</span> <span class="st">&quot;darkgray&quot;</span>)</a>
<a class="sourceLine" id="cb70-21" data-line-number="21"><span class="kw">par</span>(<span class="dt">new=</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb70-22" data-line-number="22"><span class="kw">polygon</span>(xd1, <span class="dt">col =</span> <span class="st">&quot;lightgray&quot;</span>, <span class="dt">border =</span> <span class="st">&quot;lightgray&quot;</span>)</a></code></pre></div>
<p><img 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" width="960" /></p>
</div>
<div id="figure-s3" class="section level2">
<h2>Figure S3</h2>
<div class="sourceCode" id="cb71"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb71-1" data-line-number="1"><span class="co"># load datasets </span></a>
<a class="sourceLine" id="cb71-2" data-line-number="2"></a>
<a class="sourceLine" id="cb71-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe1.RData&quot;</span>)</a>
<a class="sourceLine" id="cb71-4" data-line-number="4"><span class="kw">load</span>(<span class="st">&quot;./dataframe_equi.RData&quot;</span>)</a>
<a class="sourceLine" id="cb71-5" data-line-number="5"></a>
<a class="sourceLine" id="cb71-6" data-line-number="6"></a>
<a class="sourceLine" id="cb71-7" data-line-number="7"><span class="co"># run model with simulation data </span></a>
<a class="sourceLine" id="cb71-8" data-line-number="8">model_equi &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb71-9" data-line-number="9"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb71-10" data-line-number="10"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb71-11" data-line-number="11"></a>
<a class="sourceLine" id="cb71-12" data-line-number="12">model_equi &lt;-<span class="st"> </span><span class="kw">lm</span>(model_equi, <span class="dt">data =</span> dataframe_equi)</a>
<a class="sourceLine" id="cb71-13" data-line-number="13"></a>
<a class="sourceLine" id="cb71-14" data-line-number="14"><span class="co"># get predicted values from the original model </span></a>
<a class="sourceLine" id="cb71-15" data-line-number="15">model4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb71-16" data-line-number="16"></a>
<a class="sourceLine" id="cb71-17" data-line-number="17">model4 &lt;-<span class="st"> </span><span class="kw">lm</span>(model4, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb71-18" data-line-number="18"></a>
<a class="sourceLine" id="cb71-19" data-line-number="19">orig.pred &lt;-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">predict</span>(model4))</a>
<a class="sourceLine" id="cb71-20" data-line-number="20">new.pred &lt;-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">predict</span>(model_equi))</a>
<a class="sourceLine" id="cb71-21" data-line-number="21"><span class="kw">names</span>(orig.pred) &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="st">&quot;fit&quot;</span>)</a>
<a class="sourceLine" id="cb71-22" data-line-number="22"><span class="kw">names</span>(new.pred) &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="st">&quot;fit&quot;</span>)</a>
<a class="sourceLine" id="cb71-23" data-line-number="23"></a>
<a class="sourceLine" id="cb71-24" data-line-number="24"><span class="co"># compute difference between the predicted values</span></a>
<a class="sourceLine" id="cb71-25" data-line-number="25">effect &lt;-<span class="st"> </span>new.pred<span class="op">$</span>fit <span class="op">-</span><span class="st"> </span>orig.pred<span class="op">$</span>fit</a>
<a class="sourceLine" id="cb71-26" data-line-number="26">el &lt;-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">party_id =</span> dataframe_equi<span class="op">$</span>party_id, <span class="dt">groupnumber =</span> dataframe_equi<span class="op">$</span>groupnumber, <span class="dt">year=</span>dataframe_equi<span class="op">$</span>year, <span class="dt">party_name =</span> dataframe_equi<span class="op">$</span>partyname, <span class="dt">country =</span> dataframe_equi<span class="op">$</span>countryname, <span class="dt">diff_in_pred_rile =</span> effect)</a>
<a class="sourceLine" id="cb71-27" data-line-number="27">dataframe_equi<span class="op">$</span>jee &lt;-<span class="st"> </span>el<span class="op">$</span>diff_in_pred_rile</a>
<a class="sourceLine" id="cb71-28" data-line-number="28"></a>
<a class="sourceLine" id="cb71-29" data-line-number="29"><span class="co"># sort counties by absolute value of the change in predicted rile</span></a>
<a class="sourceLine" id="cb71-30" data-line-number="30">el &lt;-<span class="st"> </span>el <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">group_by</span>(year) <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">top_n</span>(<span class="dv">5</span>)  <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb71-31" data-line-number="31"><span class="kw">ungroup</span>() <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb71-32" data-line-number="32"><span class="st">  </span><span class="kw">arrange</span>(year, diff_in_pred_rile) <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb71-33" data-line-number="33"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">order =</span> <span class="kw">row_number</span>())</a></code></pre></div>
<pre><code>## Selecting by diff_in_pred_rile</code></pre>
<div class="sourceCode" id="cb73"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb73-1" data-line-number="1"><span class="co"># plot the results</span></a>
<a class="sourceLine" id="cb73-2" data-line-number="2">el<span class="op">$</span>pes &lt;-<span class="st"> </span><span class="kw">ifelse</span>(el<span class="op">$</span>groupnumber <span class="op">==</span><span class="st"> </span><span class="dv">20</span>, <span class="dv">1</span>, <span class="dv">0</span>)</a>
<a class="sourceLine" id="cb73-3" data-line-number="3"></a>
<a class="sourceLine" id="cb73-4" data-line-number="4"><span class="kw">ggplot</span>(el, <span class="kw">aes</span>(<span class="dt">y=</span>diff_in_pred_rile, <span class="dt">x=</span>order, order, <span class="dt">fill =</span> <span class="kw">as.factor</span>(pes))) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-5" data-line-number="5"><span class="st">  </span><span class="kw">geom_bar</span>(<span class="dt">stat =</span> <span class="st">&quot;identity&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-6" data-line-number="6"><span class="st">  </span><span class="kw">ggtitle</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-7" data-line-number="7"><span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-8" data-line-number="8"><span class="st">  </span><span class="kw">ylab</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-9" data-line-number="9"><span class="st">  </span><span class="kw">theme_bw</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb73-10" data-line-number="10"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">panel.grid.major.x =</span> <span class="kw">element_blank</span>(),</a>
<a class="sourceLine" id="cb73-11" data-line-number="11">        <span class="dt">axis.text.y=</span><span class="kw">element_blank</span>(),</a>
<a class="sourceLine" id="cb73-12" data-line-number="12">        <span class="dt">axis.ticks.y=</span><span class="kw">element_blank</span>(),</a>
<a class="sourceLine" id="cb73-13" data-line-number="13">        <span class="dt">panel.grid.minor.x =</span> <span class="kw">element_blank</span>(),</a>
<a class="sourceLine" id="cb73-14" data-line-number="14">        <span class="dt">panel.border =</span> <span class="kw">element_rect</span>(<span class="dt">colour =</span> <span class="st">&quot;black&quot;</span>)) <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span><span class="st"> </span>year, <span class="dt">scales =</span> <span class="st">&quot;free_y&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">scale_y_continuous</span>(<span class="dt">limits=</span><span class="kw">c</span>(<span class="op">-</span><span class="fl">0.02</span>, <span class="fl">0.02</span>), <span class="dt">breaks =</span> <span class="kw">c</span>(<span class="op">-</span><span class="fl">0.01</span>, <span class="dv">0</span>, <span class="fl">0.01</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-15" data-line-number="15"><span class="st">  </span><span class="kw">scale_fill_manual</span>(<span class="dt">values=</span><span class="kw">c</span>(<span class="st">&quot;gray80&quot;</span>, <span class="st">&quot;red&quot;</span>), <span class="dt">name =</span> <span class="st">&quot;Member of Social Democratic </span><span class="ch">\n</span><span class="st">Transnational Party Group&quot;</span>, <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;no&quot;</span>, <span class="st">&quot;yes&quot;</span>)) <span class="op">+</span><span class="st"> </span><span class="kw">coord_flip</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb73-16" data-line-number="16"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">plot.title =</span> <span class="kw">element_text</span>(<span class="dt">lineheight=</span>.<span class="dv">8</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb73-17" data-line-number="17"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">axis.text=</span><span class="kw">element_text</span>(<span class="dt">size=</span><span class="dv">9</span>)) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>, <span class="fl">0.05</span>))</a></code></pre></div>
<p><img 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" width="960" /></p>
</div>
<div id="table-s5" class="section level2">
<h2>Table S5</h2>
<div class="sourceCode" id="cb74"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb74-1" data-line-number="1"><span class="co"># load dataset</span></a>
<a class="sourceLine" id="cb74-2" data-line-number="2"></a>
<a class="sourceLine" id="cb74-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./weight_matrices.RData&quot;</span>)</a>
<a class="sourceLine" id="cb74-4" data-line-number="4"></a>
<a class="sourceLine" id="cb74-5" data-line-number="5"><span class="co">#mean neighbors</span></a>
<a class="sourceLine" id="cb74-6" data-line-number="6"><span class="kw">mean</span>(wmatnonaffiliated_ruled)<span class="op">*</span><span class="dv">2718</span></a></code></pre></div>
<pre><code>## [1] 2.721118</code></pre>
<div class="sourceCode" id="cb76"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb76-1" data-line-number="1"><span class="kw">mean</span>(wmatinonaffiliated_ruled)<span class="op">*</span><span class="dv">2718</span></a></code></pre></div>
<pre><code>## [1] 6.850258</code></pre>
<div class="sourceCode" id="cb78"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb78-1" data-line-number="1"><span class="kw">mean</span>(wmatknonaffiliated_ruled)<span class="op">*</span><span class="dv">2718</span></a></code></pre></div>
<pre><code>## [1] 2.933039</code></pre>
</div>
<div id="table-s6" class="section level2">
<h2>Table S6</h2>
<div class="sourceCode" id="cb80"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb80-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb80-2" data-line-number="2"></a>
<a class="sourceLine" id="cb80-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe1.RData&quot;</span>)</a>
<a class="sourceLine" id="cb80-4" data-line-number="4"></a>
<a class="sourceLine" id="cb80-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb80-6" data-line-number="6"></a>
<a class="sourceLine" id="cb80-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb80-8" data-line-number="8"></a>
<a class="sourceLine" id="cb80-9" data-line-number="9"><span class="co"># Model A1 in Table S6 </span></a>
<a class="sourceLine" id="cb80-10" data-line-number="10"></a>
<a class="sourceLine" id="cb80-11" data-line-number="11">modela1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spnonaffiliated_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb80-12" data-line-number="12"></a>
<a class="sourceLine" id="cb80-13" data-line-number="13">modela1 &lt;-<span class="st"> </span><span class="kw">lm</span>(modela1, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb80-14" data-line-number="14"><span class="kw">summary</span>(modela1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modela1, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.94505 -0.09593 -0.00284  0.10754  2.08973 
## 
## Coefficients:
##                         Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)           -9.915e-01  8.195e-01  -1.210 0.226413    
## lag_rile               7.510e-01  1.289e-02  58.257  &lt; 2e-16 ***
## lag_cmedian            4.404e-01  1.579e-01   2.789 0.005325 ** 
## lag_econ_glob          2.810e-02  1.125e-02   2.497 0.012583 *  
## interaction           -5.881e-03  2.113e-03  -2.784 0.005410 ** 
## spnonaffiliated_ruled -9.120e-04  5.308e-04  -1.718 0.085922 .  
## year_fe2               4.458e-02  6.746e-02   0.661 0.508778    
## year_fe3              -2.226e-02  7.066e-02  -0.315 0.752781    
## year_fe4               1.389e-02  7.104e-02   0.196 0.844976    
## year_fe5               7.666e-02  7.003e-02   1.095 0.273740    
## year_fe6               8.352e-02  7.078e-02   1.180 0.238090    
## year_fe7               5.152e-02  7.098e-02   0.726 0.468041    
## year_fe8               7.921e-02  6.994e-02   1.133 0.257501    
## year_fe9               1.019e-02  7.015e-02   0.145 0.884533    
## year_fe10              1.159e-01  6.674e-02   1.736 0.082683 .  
## year_fe11              9.954e-02  6.838e-02   1.456 0.145628    
## year_fe12              1.032e-01  6.863e-02   1.503 0.132857    
## year_fe13              1.328e-01  6.948e-02   1.911 0.056137 .  
## year_fe14              9.728e-02  7.115e-02   1.367 0.171691    
## year_fe15             -5.572e-02  7.145e-02  -0.780 0.435584    
## year_fe16              5.383e-02  7.147e-02   0.753 0.451423    
## year_fe17              4.327e-02  7.162e-02   0.604 0.545786    
## year_fe18              7.624e-02  7.447e-02   1.024 0.306044    
## year_fe19              7.405e-02  7.629e-02   0.971 0.331835    
## year_fe20              1.574e-01  7.286e-02   2.161 0.030818 *  
## year_fe21              1.235e-01  7.444e-02   1.659 0.097170 .  
## year_fe22              1.080e-01  7.882e-02   1.370 0.170942    
## year_fe23              4.938e-02  8.300e-02   0.595 0.551999    
## year_fe24              5.397e-02  8.355e-02   0.646 0.518366    
## year_fe25              8.352e-02  8.843e-02   0.945 0.344992    
## year_fe26              5.854e-02  8.699e-02   0.673 0.501045    
## year_fe27              2.796e-02  8.513e-02   0.328 0.742597    
## year_fe28              7.535e-02  8.528e-02   0.884 0.377006    
## year_fe29              5.119e-02  8.190e-02   0.625 0.532049    
## year_fe30              1.841e-02  7.957e-02   0.231 0.817063    
## year_fe31              2.969e-02  8.234e-02   0.361 0.718474    
## year_fe32              7.215e-03  8.332e-02   0.087 0.931008    
## year_fe33              1.591e-02  8.404e-02   0.189 0.849899    
## year_fe34              2.874e-02  8.337e-02   0.345 0.730340    
## party_fe2             -8.810e-02  1.188e-01  -0.742 0.458298    
## party_fe3             -8.936e-03  1.188e-01  -0.075 0.940043    
## party_fe4              3.033e-01  1.201e-01   2.526 0.011594 *  
## party_fe5              2.928e-01  1.196e-01   2.449 0.014391 *  
## party_fe6              4.577e-01  1.221e-01   3.750 0.000181 ***
## party_fe7             -1.065e-01  1.446e-01  -0.736 0.461572    
## party_fe8              4.363e-03  1.444e-01   0.030 0.975894    
## party_fe9              1.370e-01  1.443e-01   0.949 0.342497    
## party_fe10             1.912e-01  1.443e-01   1.325 0.185130    
## party_fe11             3.617e-01  1.449e-01   2.496 0.012620 *  
## party_fe12             1.853e-01  2.075e-01   0.893 0.372012    
## party_fe13            -1.140e-01  1.348e-01  -0.846 0.397680    
## party_fe14            -2.468e-01  1.314e-01  -1.878 0.060559 .  
## party_fe15            -3.422e-02  1.183e-01  -0.289 0.772472    
## party_fe16            -1.576e-01  1.016e-01  -1.551 0.121038    
## party_fe17             5.365e-02  1.014e-01   0.529 0.596946    
## party_fe18             4.246e-01  1.095e-01   3.877 0.000108 ***
## party_fe19             1.034e-01  1.016e-01   1.018 0.308672    
## party_fe20             4.819e-01  1.048e-01   4.597 4.50e-06 ***
## party_fe21             4.152e-01  1.063e-01   3.904 9.70e-05 ***
## party_fe22             4.235e-01  1.042e-01   4.064 4.97e-05 ***
## party_fe23             6.001e-01  1.306e-01   4.596 4.53e-06 ***
## party_fe24            -7.535e-04  1.184e-01  -0.006 0.994925    
## party_fe25            -2.173e-01  1.186e-01  -1.831 0.067157 .  
## party_fe26            -8.128e-03  1.185e-01  -0.069 0.945307    
## party_fe27             1.390e-01  3.393e-01   0.410 0.682054    
## party_fe28             3.662e-01  2.093e-01   1.750 0.080252 .  
## party_fe29             2.745e-01  1.206e-01   2.277 0.022886 *  
## party_fe30             2.486e-01  1.198e-01   2.075 0.038061 *  
## party_fe31             7.764e-02  1.053e-01   0.737 0.461124    
## party_fe32             1.571e-01  1.055e-01   1.489 0.136531    
## party_fe33             2.628e-01  1.597e-01   1.646 0.099929 .  
## party_fe34             1.005e-01  1.057e-01   0.951 0.341787    
## party_fe35             1.304e-02  1.037e-01   0.126 0.899905    
## party_fe36             1.166e-01  2.467e-01   0.473 0.636527    
## party_fe37             3.468e-01  1.045e-01   3.320 0.000914 ***
## party_fe38             3.708e-01  1.187e-01   3.123 0.001809 ** 
## party_fe39             1.883e-01  2.080e-01   0.905 0.365416    
## party_fe40             3.166e-01  1.873e-01   1.691 0.091007 .  
## party_fe41             1.575e-01  2.069e-01   0.761 0.446750    
## party_fe42             1.989e-01  1.513e-01   1.315 0.188554    
## party_fe43             7.974e-01  2.104e-01   3.790 0.000154 ***
## party_fe44             3.025e-01  1.038e-01   2.915 0.003591 ** 
## party_fe45             1.581e-01  1.031e-01   1.534 0.125277    
## party_fe46             1.535e-01  1.115e-01   1.377 0.168610    
## party_fe47             1.050e-01  1.189e-01   0.883 0.377480    
## party_fe48             8.065e-02  1.294e-01   0.623 0.533245    
## party_fe49             9.848e-02  1.032e-01   0.955 0.339910    
## party_fe50             1.754e-01  1.033e-01   1.699 0.089482 .  
## party_fe51             3.942e-01  1.051e-01   3.752 0.000180 ***
## party_fe52            -1.382e-01  2.072e-01  -0.667 0.504807    
## party_fe53             2.098e-01  1.040e-01   2.017 0.043753 *  
## party_fe54             1.208e-01  1.857e-01   0.651 0.515408    
## party_fe55             5.483e-01  1.465e-01   3.743 0.000186 ***
## party_fe56             1.894e-01  2.077e-01   0.912 0.361784    
## party_fe57             4.541e-01  1.888e-01   2.405 0.016234 *  
## party_fe58             1.053e-01  1.888e-01   0.558 0.576920    
## party_fe59             2.349e-02  1.450e-01   0.162 0.871281    
## party_fe60             1.507e-01  1.409e-01   1.069 0.284989    
## party_fe61             9.191e-02  1.600e-01   0.575 0.565637    
## party_fe62            -2.666e-01  1.264e-01  -2.109 0.035079 *  
## party_fe63            -1.815e-01  3.377e-01  -0.537 0.591102    
## party_fe64             7.836e-03  1.073e-01   0.073 0.941793    
## party_fe65             2.629e-01  1.081e-01   2.432 0.015066 *  
## party_fe66             1.589e-01  1.076e-01   1.477 0.139818    
## party_fe67            -6.241e-02  1.227e-01  -0.509 0.610928    
## party_fe68             2.056e-01  1.896e-01   1.085 0.278082    
## party_fe69            -1.717e-01  1.116e-01  -1.539 0.123936    
## party_fe70            -1.914e-02  1.113e-01  -0.172 0.863483    
## party_fe71             2.481e-01  3.443e-01   0.721 0.471159    
## party_fe72             1.618e-01  3.442e-01   0.470 0.638250    
## party_fe73             3.462e-01  1.190e-01   2.909 0.003653 ** 
## party_fe74             3.721e-01  1.298e-01   2.865 0.004200 ** 
## party_fe75             2.687e-01  1.126e-01   2.387 0.017075 *  
## party_fe76             1.368e-01  1.487e-01   0.920 0.357921    
## party_fe77             6.310e-01  1.199e-01   5.265 1.53e-07 ***
## party_fe78             4.258e-01  2.492e-01   1.709 0.087621 .  
## party_fe79             1.178e-01  1.267e-01   0.929 0.352740    
## party_fe80             1.463e-01  1.863e-01   0.785 0.432483    
## party_fe81             1.106e-01  1.459e-01   0.758 0.448336    
## party_fe82            -2.308e-02  1.523e-01  -0.152 0.879578    
## party_fe83            -9.247e-02  1.226e-01  -0.754 0.450829    
## party_fe84             3.742e-02  1.602e-01   0.234 0.815287    
## party_fe85             1.563e-01  1.122e-01   1.393 0.163751    
## party_fe86             8.737e-02  3.389e-01   0.258 0.796606    
## party_fe87             5.994e-01  1.203e-01   4.982 6.74e-07 ***
## party_fe88             2.448e-01  1.242e-01   1.970 0.048940 *  
## party_fe89             5.923e-01  1.876e-01   3.158 0.001607 ** 
## party_fe90             7.297e-02  1.610e-01   0.453 0.650450    
## party_fe91             2.955e-01  1.282e-01   2.305 0.021243 *  
## party_fe92             5.081e-01  1.292e-01   3.934 8.58e-05 ***
## party_fe93             3.776e-01  1.286e-01   2.935 0.003361 ** 
## party_fe94             1.463e-01  1.863e-01   0.785 0.432483    
## party_fe95             2.615e-01  2.486e-01   1.052 0.292959    
## party_fe96             3.270e-01  1.176e-01   2.782 0.005444 ** 
## party_fe97             5.866e-01  1.875e-01   3.129 0.001774 ** 
## party_fe98             4.406e-01  1.874e-01   2.351 0.018805 *  
## party_fe99             3.148e-01  3.396e-01   0.927 0.354071    
## party_fe100            6.679e-01  1.616e-01   4.133 3.70e-05 ***
## party_fe101           -1.874e-01  1.887e-01  -0.993 0.320707    
## party_fe102            6.767e-01  1.305e-01   5.186 2.32e-07 ***
## party_fe103            7.386e-01  1.627e-01   4.538 5.95e-06 ***
## party_fe104            4.406e-01  1.874e-01   2.351 0.018805 *  
## party_fe105            4.845e-01  1.123e-01   4.314 1.67e-05 ***
## party_fe106            3.568e-01  1.191e-01   2.997 0.002757 ** 
## party_fe107            2.722e-01  1.417e-01   1.921 0.054806 .  
## party_fe108           -8.057e-02  1.127e-01  -0.715 0.474698    
## party_fe109           -8.009e-05  1.125e-01  -0.001 0.999432    
## party_fe110            8.925e-02  2.142e-01   0.417 0.677002    
## party_fe111            2.156e-01  2.525e-01   0.854 0.393335    
## party_fe112            2.271e-02  1.422e-01   0.160 0.873112    
## party_fe113            2.160e-01  1.131e-01   1.909 0.056414 .  
## party_fe114            1.609e-01  1.128e-01   1.426 0.154037    
## party_fe115            6.141e-02  2.506e-01   0.245 0.806400    
## party_fe116            1.201e-01  1.175e-01   1.023 0.306571    
## party_fe117           -1.595e-02  1.377e-01  -0.116 0.907836    
## party_fe118           -4.177e-02  1.132e-01  -0.369 0.712183    
## party_fe119           -1.146e-02  2.114e-01  -0.054 0.956782    
## party_fe120            2.254e-01  1.142e-01   1.974 0.048458 *  
## party_fe121            3.855e-01  1.652e-01   2.334 0.019680 *  
## party_fe122            2.400e-01  1.272e-01   1.887 0.059274 .  
## party_fe123            3.461e-01  1.733e-01   1.997 0.045909 *  
## party_fe124           -3.641e-02  1.311e-01  -0.278 0.781220    
## party_fe125           -1.127e-02  1.094e-01  -0.103 0.917909    
## party_fe126           -4.172e-02  1.185e-01  -0.352 0.724759    
## party_fe127           -2.042e-01  3.395e-01  -0.601 0.547690    
## party_fe128           -3.676e-03  1.093e-01  -0.034 0.973179    
## party_fe129            3.186e-01  1.739e-01   1.832 0.067018 .  
## party_fe130            2.032e-01  1.100e-01   1.847 0.064862 .  
## party_fe131            4.686e-01  2.121e-01   2.210 0.027224 *  
## party_fe132            2.183e-01  1.106e-01   1.974 0.048440 *  
## party_fe133           -2.618e-02  1.114e-01  -0.235 0.814187    
## party_fe134           -1.372e-01  1.275e-01  -1.076 0.281880    
## party_fe135           -5.890e-02  2.104e-01  -0.280 0.779511    
## party_fe136           -2.396e-02  3.391e-01  -0.071 0.943692    
## party_fe137            2.172e-02  1.084e-01   0.200 0.841192    
## party_fe138            2.081e-01  1.088e-01   1.912 0.055989 .  
## party_fe139            3.658e-01  1.101e-01   3.322 0.000906 ***
## party_fe140            9.353e-02  1.193e-01   0.784 0.433191    
## party_fe141            1.863e-02  1.687e-01   0.110 0.912083    
## party_fe142            2.008e-02  1.192e-01   0.169 0.866175    
## party_fe143            2.426e-01  1.215e-01   1.997 0.045950 *  
## party_fe144            9.078e-01  2.129e-01   4.263 2.09e-05 ***
## party_fe145            2.415e-01  1.204e-01   2.005 0.045052 *  
## party_fe146            1.757e-01  1.850e-01   0.950 0.342274    
## party_fe147            1.255e-01  1.511e-01   0.831 0.406180    
## party_fe148            4.659e-02  1.028e-01   0.453 0.650514    
## party_fe149            1.477e-01  1.443e-01   1.024 0.306035    
## party_fe150            1.414e-01  1.035e-01   1.366 0.172089    
## party_fe151            4.543e-01  1.055e-01   4.308 1.71e-05 ***
## party_fe152            2.215e-01  1.288e-01   1.720 0.085523 .  
## party_fe153            7.678e-02  1.120e-01   0.686 0.493038    
## party_fe154           -9.035e-02  1.333e-01  -0.678 0.497825    
## party_fe155            1.067e-01  1.391e-01   0.767 0.442937    
## party_fe156            4.445e-02  1.035e-01   0.430 0.667567    
## party_fe157            3.098e-01  1.108e-01   2.796 0.005216 ** 
## party_fe158            2.814e-01  1.044e-01   2.694 0.007099 ** 
## party_fe159            1.172e-01  1.040e-01   1.126 0.260186    
## party_fe160            1.498e-01  3.378e-01   0.443 0.657501    
## party_fe161            1.221e-01  3.378e-01   0.362 0.717684    
## party_fe162            2.179e-01  3.379e-01   0.645 0.518983    
## party_fe163            2.423e-01  3.379e-01   0.717 0.473410    
## party_fe164            4.380e-02  2.109e-01   0.208 0.835491    
## party_fe165           -1.788e-01  1.892e-01  -0.945 0.344916    
## party_fe166            4.361e-01  1.902e-01   2.293 0.021926 *  
## party_fe167            4.303e-01  2.117e-01   2.033 0.042195 *  
## party_fe168            4.174e-01  2.116e-01   1.972 0.048674 *  
## party_fe169            2.160e-01  1.893e-01   1.141 0.254106    
## party_fe170            1.496e-01  1.857e-01   0.806 0.420380    
## party_fe171           -3.252e-04  1.594e-01  -0.002 0.998373    
## party_fe172            1.879e-01  1.596e-01   1.177 0.239262    
## party_fe173            4.120e-01  1.624e-01   2.538 0.011224 *  
## party_fe174            3.287e-01  1.852e-01   1.775 0.076027 .  
## party_fe175            4.163e-01  3.388e-01   1.229 0.219265    
## party_fe176            5.422e-01  3.392e-01   1.598 0.110075    
## party_fe177            2.072e-01  2.102e-01   0.986 0.324210    
## party_fe178            2.378e-01  1.611e-01   1.476 0.140065    
## party_fe179           -2.096e-02  1.612e-01  -0.130 0.896564    
## party_fe180            4.425e-01  1.618e-01   2.735 0.006279 ** 
## party_fe181            4.421e-01  1.620e-01   2.730 0.006388 ** 
## party_fe182            6.318e-01  2.489e-01   2.538 0.011199 *  
## party_fe183            2.896e-01  1.854e-01   1.562 0.118335    
## party_fe184            2.587e-01  1.592e-01   1.625 0.104231    
## party_fe185            8.543e-02  1.852e-01   0.461 0.644587    
## party_fe186            1.753e-01  1.595e-01   1.099 0.271793    
## party_fe187            4.789e-01  1.706e-01   2.806 0.005053 ** 
## party_fe188            5.328e-01  1.705e-01   3.124 0.001804 ** 
## party_fe189            2.702e-01  3.408e-01   0.793 0.427994    
## party_fe190            3.058e-01  3.409e-01   0.897 0.369815    
## party_fe191            1.874e-01  3.407e-01   0.550 0.582442    
## party_fe192            3.411e-01  3.410e-01   1.000 0.317277    
## party_fe193            3.437e-01  3.410e-01   1.008 0.313515    
## party_fe194            3.774e-01  3.411e-01   1.106 0.268660    
## party_fe195            2.646e-01  3.423e-01   0.773 0.439652    
## party_fe196            4.022e-01  1.665e-01   2.415 0.015797 *  
## party_fe197            3.567e-01  1.667e-01   2.139 0.032496 *  
## party_fe198            1.491e-01  2.527e-01   0.590 0.555297    
## party_fe199            3.381e-01  2.540e-01   1.331 0.183365    
## party_fe200            2.733e-01  2.543e-01   1.074 0.282709    
## party_fe201            1.738e-01  3.381e-01   0.514 0.607277    
## party_fe202            2.113e-01  3.381e-01   0.625 0.532098    
## party_fe203           -3.191e-02  1.585e-01  -0.201 0.840425    
## party_fe204            4.985e-01  3.387e-01   1.471 0.141291    
## party_fe205            5.107e-01  1.611e-01   3.170 0.001545 ** 
## party_fe206            1.089e-01  1.596e-01   0.682 0.495190    
## party_fe207            4.263e-01  1.848e-01   2.307 0.021133 *  
## party_fe208            3.051e-01  1.597e-01   1.910 0.056220 .  
## party_fe209            1.545e-01  1.606e-01   0.962 0.336236    
## party_fe210            2.103e-01  1.608e-01   1.308 0.190885    
## party_fe211            3.387e-01  1.603e-01   2.113 0.034715 *  
## party_fe212            1.153e-01  2.466e-01   0.467 0.640277    
## party_fe213            2.821e-01  1.609e-01   1.753 0.079684 .  
## party_fe214            2.152e-01  1.607e-01   1.339 0.180634    
## party_fe215            4.202e-01  1.618e-01   2.597 0.009459 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3246 on 2465 degrees of freedom
## Multiple R-squared:  0.8879, Adjusted R-squared:  0.8765 
## F-statistic: 77.51 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb82"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb82-1" data-line-number="1"><span class="kw">stargazer</span>(modela1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:58
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.440$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.028$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spnonaffiliated\_ruled &amp; $-$0.001$^{*}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.045 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; $-$0.022 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.014 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.077 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.084 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.052 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.079 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.010 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.116$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.100 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.103 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.133$^{*}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.097 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.056 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.054 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.043 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.076 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.074 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.157$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.124$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.108 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.049 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.054 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.084 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.059 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.028 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.075 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.051 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.018 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.030 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.007 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.016 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.029 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.458$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.106 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.004 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.137 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.191 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.362$^{**}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.185 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.114 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.247$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.034 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.158 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.054 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.425$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.103 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.482$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.600$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.001 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.217$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.008 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.139 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.366$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.249$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.078 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.157 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.263$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.100 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.013 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.117 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.347$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.371$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.188 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.317$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.157 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.199 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.797$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.303$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.158 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.153 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.105 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.081 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.098 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.175$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.394$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.138 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.210$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.121 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.548$^{***}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.189 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.454$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.105 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.023 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.151 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.092 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.267$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.181 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.008 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.263$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.159 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.062 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.206 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.172 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.019 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.248 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.162 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.346$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.372$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.269$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.137 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.631$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.426$^{*}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.118 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.146 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.111 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.023 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.092 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.037 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.156 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.087 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.599$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.592$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.073 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.295$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.508$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.378$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.146 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.261 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.327$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.587$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.441$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.315 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.668$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.187 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.677$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.739$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.441$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.485$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.357$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.272$^{*}$ \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.081 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.0001 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.089 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.216 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.023 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.161 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.061 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.120 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.016 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.042 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.011 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.225$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.386$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.240$^{*}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.346$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.036 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.011 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.042 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.204 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.004 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.319$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.203$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.469$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.218$^{**}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.026 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.137 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.059 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.024 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.022 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.366$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.094 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.019 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.020 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.243$^{**}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.908$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.241$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.176 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.125 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.047 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.148 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.141 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.454$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.222$^{*}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.077 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.090 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.107 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.044 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.281$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.117 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.150 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.122 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.218 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.242 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.044 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.179 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.436$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.430$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.216 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.150 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.0003 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.188 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.412$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.329$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.416 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.542 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.207 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.238 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.021 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.632$^{**}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.290 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.259 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.085 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.175 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.479$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.533$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.270 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.306 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.187 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.341 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.344 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.377 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.265 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.402$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.357$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.149 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.338 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.273 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.174 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.211 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.032 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.498 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.511$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.109 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.426$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.305$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.154 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.210 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.339$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.115 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.282$^{*}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.215 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.420$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.992 \\ 
##   &amp; (0.819) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.507$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb84"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb84-1" data-line-number="1"><span class="co"># Model A2 in Table S6 </span></a>
<a class="sourceLine" id="cb84-2" data-line-number="2"></a>
<a class="sourceLine" id="cb84-3" data-line-number="3">modela2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spinonaffiliated_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb84-4" data-line-number="4"></a>
<a class="sourceLine" id="cb84-5" data-line-number="5">modela2 &lt;-<span class="st"> </span><span class="kw">lm</span>(modela2, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb84-6" data-line-number="6"><span class="kw">summary</span>(modela2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modela2, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.94210 -0.09778 -0.00136  0.10663  2.09222 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -1.0006848  0.8198497  -1.221 0.222365    
## lag_rile                0.7515560  0.0128933  58.291  &lt; 2e-16 ***
## lag_cmedian             0.4322892  0.1580462   2.735 0.006279 ** 
## lag_econ_glob           0.0272825  0.0112570   2.424 0.015439 *  
## interaction            -0.0057199  0.0021143  -2.705 0.006870 ** 
## spinonaffiliated_ruled -0.0002474  0.0002462  -1.005 0.315119    
## year_fe2                0.0408397  0.0674503   0.605 0.544917    
## year_fe3                0.0224245  0.0669282   0.335 0.737614    
## year_fe4                0.0594889  0.0673450   0.883 0.377136    
## year_fe5                0.1150164  0.0674029   1.706 0.088059 .  
## year_fe6                0.1248233  0.0673402   1.854 0.063913 .  
## year_fe7                0.0920044  0.0675316   1.362 0.173199    
## year_fe8                0.1190381  0.0666926   1.785 0.074404 .  
## year_fe9                0.0506443  0.0674380   0.751 0.452739    
## year_fe10               0.1495053  0.0654267   2.285 0.022393 *  
## year_fe11               0.1442821  0.0650605   2.218 0.026669 *  
## year_fe12               0.1502004  0.0648047   2.318 0.020545 *  
## year_fe13               0.1775489  0.0654079   2.714 0.006684 ** 
## year_fe14               0.1422258  0.0668979   2.126 0.033601 *  
## year_fe15              -0.0097840  0.0679035  -0.144 0.885444    
## year_fe16               0.0937934  0.0691783   1.356 0.175280    
## year_fe17               0.0825981  0.0693144   1.192 0.233515    
## year_fe18               0.1228592  0.0709295   1.732 0.083375 .  
## year_fe19               0.1202654  0.0723392   1.663 0.096535 .  
## year_fe20               0.1921044  0.0711180   2.701 0.006956 ** 
## year_fe21               0.1553953  0.0731113   2.125 0.033647 *  
## year_fe22               0.1504170  0.0765120   1.966 0.049419 *  
## year_fe23               0.0997864  0.0788380   1.266 0.205735    
## year_fe24               0.1041447  0.0794798   1.310 0.190207    
## year_fe25               0.1336792  0.0842978   1.586 0.112914    
## year_fe26               0.1105425  0.0826496   1.337 0.181188    
## year_fe27               0.0789537  0.0803783   0.982 0.326060    
## year_fe28               0.1280537  0.0803608   1.593 0.111180    
## year_fe29               0.0789837  0.0808594   0.977 0.328762    
## year_fe30               0.0518124  0.0778842   0.665 0.505954    
## year_fe31               0.0660110  0.0798912   0.826 0.408736    
## year_fe32               0.0392763  0.0814993   0.482 0.629904    
## year_fe33               0.0709047  0.0787146   0.901 0.367792    
## year_fe34               0.0828413  0.0780740   1.061 0.288766    
## party_fe2              -0.0877721  0.1188159  -0.739 0.460145    
## party_fe3              -0.0092830  0.1188439  -0.078 0.937746    
## party_fe4               0.3024267  0.1200989   2.518 0.011860 *  
## party_fe5               0.2921315  0.1196114   2.442 0.014662 *  
## party_fe6               0.4563910  0.1221075   3.738 0.000190 ***
## party_fe7              -0.1098238  0.1452689  -0.756 0.449719    
## party_fe8               0.0008536  0.1450768   0.006 0.995306    
## party_fe9               0.1330738  0.1449166   0.918 0.358563    
## party_fe10              0.1872900  0.1449411   1.292 0.196416    
## party_fe11              0.3573201  0.1455474   2.455 0.014157 *  
## party_fe12              0.1752327  0.2081255   0.842 0.399894    
## party_fe13             -0.1150883  0.1348791  -0.853 0.393593    
## party_fe14             -0.2471507  0.1315152  -1.879 0.060328 .  
## party_fe15             -0.0377971  0.1195673  -0.316 0.751941    
## party_fe16             -0.1551698  0.1016902  -1.526 0.127161    
## party_fe17              0.0556631  0.1015162   0.548 0.583524    
## party_fe18              0.4241080  0.1096179   3.869 0.000112 ***
## party_fe19              0.1034708  0.1016347   1.018 0.308747    
## party_fe20              0.4828271  0.1049152   4.602 4.40e-06 ***
## party_fe21              0.4136271  0.1067803   3.874 0.000110 ***
## party_fe22              0.4245743  0.1042958   4.071 4.83e-05 ***
## party_fe23              0.5961525  0.1318993   4.520 6.48e-06 ***
## party_fe24              0.0001233  0.1185140   0.001 0.999170    
## party_fe25             -0.2145907  0.1186813  -1.808 0.070709 .  
## party_fe26             -0.0073294  0.1185461  -0.062 0.950705    
## party_fe27              0.1398707  0.3397929   0.412 0.680643    
## party_fe28              0.3520071  0.2092970   1.682 0.092724 .  
## party_fe29              0.2614441  0.1202720   2.174 0.029817 *  
## party_fe30              0.2487620  0.1198904   2.075 0.038098 *  
## party_fe31              0.0782801  0.1053916   0.743 0.457701    
## party_fe32              0.1591204  0.1056068   1.507 0.132009    
## party_fe33              0.2451574  0.1595239   1.537 0.124469    
## party_fe34              0.1016440  0.1057778   0.961 0.336687    
## party_fe35              0.0154574  0.1037519   0.149 0.881578    
## party_fe36              0.1027722  0.2469644   0.416 0.677343    
## party_fe37              0.3480591  0.1045682   3.329 0.000886 ***
## party_fe38              0.3670381  0.1187535   3.091 0.002019 ** 
## party_fe39              0.1652894  0.2074301   0.797 0.425619    
## party_fe40              0.3140948  0.1873455   1.677 0.093757 .  
## party_fe41              0.1752760  0.2087648   0.840 0.401222    
## party_fe42              0.1849946  0.1514957   1.221 0.222157    
## party_fe43              0.7887042  0.2111029   3.736 0.000191 ***
## party_fe44              0.3039892  0.1038967   2.926 0.003466 ** 
## party_fe45              0.1589080  0.1031737   1.540 0.123640    
## party_fe46              0.1570633  0.1114804   1.409 0.158995    
## party_fe47              0.1019299  0.1202557   0.848 0.396738    
## party_fe48              0.0853728  0.1295681   0.659 0.510020    
## party_fe49              0.1021973  0.1032108   0.990 0.322183    
## party_fe50              0.1790469  0.1032826   1.734 0.083121 .  
## party_fe51              0.3977575  0.1051135   3.784 0.000158 ***
## party_fe52             -0.1386404  0.2082970  -0.666 0.505735    
## party_fe53              0.2138239  0.1040222   2.056 0.039930 *  
## party_fe54              0.1258873  0.1858091   0.678 0.498147    
## party_fe55              0.5388458  0.1472891   3.658 0.000259 ***
## party_fe56              0.1886790  0.2087684   0.904 0.366205    
## party_fe57              0.4420739  0.1892955   2.335 0.019604 *  
## party_fe58              0.0994429  0.1888624   0.527 0.598563    
## party_fe59              0.0190103  0.1450256   0.131 0.895721    
## party_fe60              0.1433069  0.1408883   1.017 0.309174    
## party_fe61              0.0733537  0.1598306   0.459 0.646313    
## party_fe62             -0.2694046  0.1264617  -2.130 0.033244 *  
## party_fe63             -0.1784680  0.3387880  -0.527 0.598391    
## party_fe64              0.0108794  0.1073798   0.101 0.919307    
## party_fe65              0.2653870  0.1081905   2.453 0.014237 *  
## party_fe66              0.1615700  0.1076618   1.501 0.133556    
## party_fe67             -0.0613649  0.1227498  -0.500 0.617177    
## party_fe68              0.2225720  0.1918577   1.160 0.246125    
## party_fe69             -0.1666468  0.1115798  -1.494 0.135429    
## party_fe70             -0.0142837  0.1113052  -0.128 0.897899    
## party_fe71              0.2461447  0.3443940   0.715 0.474851    
## party_fe72              0.1600591  0.3442941   0.465 0.642051    
## party_fe73              0.3492229  0.1196912   2.918 0.003558 ** 
## party_fe74              0.3747136  0.1301394   2.879 0.004020 ** 
## party_fe75              0.2699893  0.1127935   2.394 0.016756 *  
## party_fe76              0.1276064  0.1495746   0.853 0.393671    
## party_fe77              0.6323575  0.1207091   5.239 1.75e-07 ***
## party_fe78              0.4333804  0.2510224   1.726 0.084390 .  
## party_fe79              0.1221005  0.1276858   0.956 0.339036    
## party_fe80              0.1528261  0.1879296   0.813 0.416177    
## party_fe81              0.1114278  0.1460259   0.763 0.445495    
## party_fe82             -0.0207421  0.1526820  -0.136 0.891950    
## party_fe83             -0.0874905  0.1226092  -0.714 0.475559    
## party_fe84              0.0517283  0.1603719   0.323 0.747062    
## party_fe85              0.1604422  0.1122316   1.430 0.152969    
## party_fe86              0.0657566  0.3388403   0.194 0.846142    
## party_fe87              0.6023240  0.1208463   4.984 6.65e-07 ***
## party_fe88              0.2470025  0.1243174   1.987 0.047047 *  
## party_fe89              0.6034191  0.1889507   3.194 0.001423 ** 
## party_fe90              0.0697685  0.1622369   0.430 0.667204    
## party_fe91              0.2980677  0.1284674   2.320 0.020412 *  
## party_fe92              0.5103678  0.1294327   3.943 8.27e-05 ***
## party_fe93              0.3800001  0.1289092   2.948 0.003230 ** 
## party_fe94              0.1528261  0.1879296   0.813 0.416177    
## party_fe95              0.2694234  0.2504293   1.076 0.282101    
## party_fe96              0.3308291  0.1175665   2.814 0.004932 ** 
## party_fe97              0.5851645  0.1875976   3.119 0.001834 ** 
## party_fe98              0.4464523  0.1889711   2.363 0.018227 *  
## party_fe99              0.3170464  0.3400407   0.932 0.351233    
## party_fe100             0.6742984  0.1627904   4.142 3.56e-05 ***
## party_fe101            -0.1950122  0.1896545  -1.028 0.303933    
## party_fe102             0.6772307  0.1305685   5.187 2.31e-07 ***
## party_fe103             0.7345234  0.1638958   4.482 7.75e-06 ***
## party_fe104             0.4464523  0.1889711   2.363 0.018227 *  
## party_fe105             0.4862541  0.1125174   4.322 1.61e-05 ***
## party_fe106             0.3669359  0.1192600   3.077 0.002116 ** 
## party_fe107             0.2693959  0.1432266   1.881 0.060102 .  
## party_fe108            -0.0748797  0.1126656  -0.665 0.506356    
## party_fe109             0.0050890  0.1125099   0.045 0.963926    
## party_fe110             0.0913875  0.2145181   0.426 0.670136    
## party_fe111             0.2199804  0.2527781   0.870 0.384248    
## party_fe112             0.0263995  0.1422012   0.186 0.852735    
## party_fe113             0.2206140  0.1131449   1.950 0.051309 .  
## party_fe114             0.1665636  0.1128204   1.476 0.139975    
## party_fe115             0.0321843  0.2498787   0.129 0.897527    
## party_fe116             0.1239694  0.1174679   1.055 0.291370    
## party_fe117            -0.0218215  0.1377540  -0.158 0.874147    
## party_fe118            -0.0374069  0.1132094  -0.330 0.741109    
## party_fe119            -0.0220960  0.2114197  -0.105 0.916771    
## party_fe120             0.2249503  0.1143495   1.967 0.049270 *  
## party_fe121             0.3851670  0.1661894   2.318 0.020550 *  
## party_fe122             0.2353971  0.1279878   1.839 0.066004 .  
## party_fe123             0.3471520  0.1735424   2.000 0.045568 *  
## party_fe124            -0.0356371  0.1331418  -0.268 0.788981    
## party_fe125            -0.0082901  0.1094082  -0.076 0.939606    
## party_fe126            -0.0444782  0.1198218  -0.371 0.710518    
## party_fe127            -0.2069874  0.3397321  -0.609 0.542404    
## party_fe128            -0.0004243  0.1093348  -0.004 0.996904    
## party_fe129             0.3193187  0.1741273   1.834 0.066801 .  
## party_fe130             0.2057468  0.1100315   1.870 0.061618 .  
## party_fe131             0.4703467  0.2123118   2.215 0.026827 *  
## party_fe132             0.2166269  0.1117714   1.938 0.052722 .  
## party_fe133            -0.0218420  0.1113666  -0.196 0.844527    
## party_fe134            -0.1435768  0.1275262  -1.126 0.260334    
## party_fe135            -0.0842103  0.2097611  -0.401 0.688117    
## party_fe136            -0.0208753  0.3402569  -0.061 0.951084    
## party_fe137             0.0262098  0.1084057   0.242 0.808974    
## party_fe138             0.2159733  0.1088387   1.984 0.047328 *  
## party_fe139             0.3694450  0.1101117   3.355 0.000805 ***
## party_fe140             0.0964791  0.1193762   0.808 0.419057    
## party_fe141             0.0222600  0.1703428   0.131 0.896041    
## party_fe142             0.0231327  0.1192198   0.194 0.846165    
## party_fe143             0.2396294  0.1229169   1.950 0.051346 .  
## party_fe144             0.8868877  0.2125349   4.173 3.11e-05 ***
## party_fe145             0.2440114  0.1204977   2.025 0.042972 *  
## party_fe146             0.1636707  0.1854523   0.883 0.377566    
## party_fe147             0.1403559  0.1535773   0.914 0.360853    
## party_fe148             0.0495099  0.1028664   0.481 0.630344    
## party_fe149             0.1456051  0.1444708   1.008 0.313625    
## party_fe150             0.1386396  0.1041693   1.331 0.183343    
## party_fe151             0.4562105  0.1055237   4.323 1.60e-05 ***
## party_fe152             0.2256468  0.1304308   1.730 0.083753 .  
## party_fe153             0.0668124  0.1119424   0.597 0.550665    
## party_fe154            -0.0937435  0.1332889  -0.703 0.481928    
## party_fe155             0.1083564  0.1402089   0.773 0.439702    
## party_fe156             0.0453591  0.1036056   0.438 0.661565    
## party_fe157             0.3086457  0.1108789   2.784 0.005416 ** 
## party_fe158             0.2817948  0.1045845   2.694 0.007099 ** 
## party_fe159             0.1177139  0.1041888   1.130 0.258665    
## party_fe160             0.1331331  0.3379930   0.394 0.693694    
## party_fe161             0.1055490  0.3379784   0.312 0.754843    
## party_fe162             0.2011209  0.3380549   0.595 0.551941    
## party_fe163             0.2254325  0.3380860   0.667 0.504968    
## party_fe164             0.0251272  0.2108388   0.119 0.905145    
## party_fe165            -0.1987788  0.1890997  -1.051 0.293277    
## party_fe166             0.4152939  0.1899732   2.186 0.028905 *  
## party_fe167             0.4106987  0.2115708   1.941 0.052349 .  
## party_fe168             0.3978676  0.2115160   1.881 0.060086 .  
## party_fe169             0.1957478  0.1891705   1.035 0.300878    
## party_fe170             0.1406314  0.1863682   0.755 0.450568    
## party_fe171            -0.0176612  0.1590386  -0.111 0.911586    
## party_fe172             0.1703216  0.1591987   1.070 0.284784    
## party_fe173             0.3934443  0.1619014   2.430 0.015164 *  
## party_fe174             0.3147597  0.1849978   1.701 0.088990 .  
## party_fe175             0.3899110  0.3385167   1.152 0.249506    
## party_fe176             0.5155138  0.3389157   1.521 0.128371    
## party_fe177             0.2025206  0.2111323   0.959 0.337546    
## party_fe178             0.2208914  0.1607438   1.374 0.169510    
## party_fe179            -0.0322588  0.1617398  -0.199 0.841928    
## party_fe180             0.4252931  0.1613933   2.635 0.008463 ** 
## party_fe181             0.4303868  0.1624951   2.649 0.008134 ** 
## party_fe182             0.6117756  0.2487873   2.459 0.014000 *  
## party_fe183             0.2824208  0.1862002   1.517 0.129456    
## party_fe184             0.2432611  0.1588886   1.531 0.125894    
## party_fe185             0.0784688  0.1860348   0.422 0.673210    
## party_fe186             0.1645673  0.1601736   1.027 0.304318    
## party_fe187             0.4659181  0.1710494   2.724 0.006497 ** 
## party_fe188             0.5199079  0.1709506   3.041 0.002381 ** 
## party_fe189             0.2530918  0.3410083   0.742 0.458045    
## party_fe190             0.2885926  0.3410708   0.846 0.397558    
## party_fe191             0.1704413  0.3409014   0.500 0.617139    
## party_fe192             0.3237984  0.3411425   0.949 0.342633    
## party_fe193             0.3264605  0.3411483   0.957 0.338688    
## party_fe194             0.3600003  0.3412265   1.055 0.291520    
## party_fe195             0.2430074  0.3423102   0.710 0.477831    
## party_fe196             0.3829855  0.1660779   2.306 0.021190 *  
## party_fe197             0.3373298  0.1662428   2.029 0.042551 *  
## party_fe198             0.1227278  0.2522469   0.487 0.626629    
## party_fe199             0.3275952  0.2540963   1.289 0.197430    
## party_fe200             0.2742486  0.2558470   1.072 0.283859    
## party_fe201             0.1503974  0.3379498   0.445 0.656338    
## party_fe202             0.1878132  0.3379822   0.556 0.578473    
## party_fe203            -0.0441436  0.1584333  -0.279 0.780556    
## party_fe204             0.4743378  0.3385998   1.401 0.161376    
## party_fe205             0.4974462  0.1610184   3.089 0.002028 ** 
## party_fe206             0.0960393  0.1595011   0.602 0.547147    
## party_fe207             0.4165045  0.1847627   2.254 0.024267 *  
## party_fe208             0.2964265  0.1605734   1.846 0.065005 .  
## party_fe209             0.1467513  0.1616640   0.908 0.364096    
## party_fe210             0.2024868  0.1617930   1.252 0.210864    
## party_fe211             0.3235157  0.1600951   2.021 0.043411 *  
## party_fe212             0.1306792  0.2487051   0.525 0.599326    
## party_fe213             0.2741592  0.1619118   1.693 0.090532 .  
## party_fe214             0.2074173  0.1617478   1.282 0.199841    
## party_fe215             0.4119141  0.1627914   2.530 0.011458 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.44 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb86"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb86-1" data-line-number="1"><span class="kw">stargazer</span>(modela2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:58
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.752$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.432$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.027$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spinonaffiliated\_ruled &amp; $-$0.0002 \\ 
##   &amp; (0.0002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.022 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.059 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.115$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.125$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.092 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.119$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.051 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.150$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.150$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.178$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.010 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.094 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.083 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.123$^{*}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.192$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.155$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.150$^{**}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.100 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.104 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.134 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.111 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.079 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.128 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.079 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.052 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.066 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.039 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.071 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.083 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.302$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.456$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.110 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.001 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.133 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.187 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.357$^{**}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.175 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.115 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.247$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.038 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.155 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.056 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.424$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.103 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.483$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.414$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.425$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.596$^{***}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.0001 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.215$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.007 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.140 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.352$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.249$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.078 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.159 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.245 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.102 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.015 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.103 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.348$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.367$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.165 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.314$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.175 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.185 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.789$^{***}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.304$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.159 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.157 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.102 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.085 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.102 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.179$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.398$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.139 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.126 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.539$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.189 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.442$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.099 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.019 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.143 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.073 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.269$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.178 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.011 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.265$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.162 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.061 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.223 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.167 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.014 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.246 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.160 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.349$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.375$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.270$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.128 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.632$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.433$^{*}$ \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.122 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.153 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.111 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.021 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.087 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.052 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.160 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.066 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.602$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.603$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.070 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.298$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.510$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.380$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.153 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.269 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.585$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.446$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.317 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.674$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.195 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.677$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.735$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.446$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.367$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.269$^{*}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.075 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.005 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.091 \\ 
##   &amp; (0.215) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.220 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.026 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.221$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.167 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.032 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.124 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.022 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.037 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.022 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.225$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.385$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.235$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.347$^{**}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.036 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.008 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.044 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.207 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.0004 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.319$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.206$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.470$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.217$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.022 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.144 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.084 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.021 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.026 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.216$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.096 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.022 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.023 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.240$^{*}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.887$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.164 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.140 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.050 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.146 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.139 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.456$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.226$^{*}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.067 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.094 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.108 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.045 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.309$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.282$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.118 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.133 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.106 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.201 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.225 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.025 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.199 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.415$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.411$^{*}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.398$^{*}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.196 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.141 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.018 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.170 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.393$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.315$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.390 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.516 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.203 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.221 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.032 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.425$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.612$^{**}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.282 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.243 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.078 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.165 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.466$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.520$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.253 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.289 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.170 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.324 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.326 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.360 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.243 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.383$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.337$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.123 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.328 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.274 \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.150 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.188 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.044 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.474 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.497$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.096 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.296$^{*}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.147 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.202 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.324$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.131 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.274$^{*}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.207 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.412$^{**}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.001 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.438$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb88"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb88-1" data-line-number="1"><span class="co"># Model A3 in Table S6 </span></a>
<a class="sourceLine" id="cb88-2" data-line-number="2"></a>
<a class="sourceLine" id="cb88-3" data-line-number="3">modela3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spknonaffiliated_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb88-4" data-line-number="4"></a>
<a class="sourceLine" id="cb88-5" data-line-number="5">modela3 &lt;-<span class="st"> </span><span class="kw">lm</span>(modela3, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb88-6" data-line-number="6"><span class="kw">summary</span>(modela3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modela3, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.94622 -0.09579 -0.00201  0.10636  2.08707 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -1.0825660  0.8199072  -1.320 0.186840    
## lag_rile                0.7511498  0.0128880  58.283  &lt; 2e-16 ***
## lag_cmedian             0.4475945  0.1579760   2.833 0.004644 ** 
## lag_econ_glob           0.0287532  0.0112650   2.552 0.010757 *  
## interaction            -0.0059772  0.0021141  -2.827 0.004732 ** 
## spknonaffiliated_ruled  0.0009147  0.0005033   1.817 0.069296 .  
## year_fe2                0.0412657  0.0674190   0.612 0.540542    
## year_fe3                0.0135859  0.0667664   0.203 0.838773    
## year_fe4                0.0496596  0.0671330   0.740 0.459540    
## year_fe5                0.0997091  0.0674724   1.478 0.139596    
## year_fe6                0.1154530  0.0673108   1.715 0.086430 .  
## year_fe7                0.0834205  0.0675351   1.235 0.216867    
## year_fe8                0.1063913  0.0667954   1.593 0.111335    
## year_fe9                0.0333677  0.0674685   0.495 0.620950    
## year_fe10               0.1261076  0.0655646   1.923 0.054544 .  
## year_fe11               0.1280820  0.0649024   1.973 0.048555 *  
## year_fe12               0.1365159  0.0645705   2.114 0.034597 *  
## year_fe13               0.1662410  0.0653921   2.542 0.011076 *  
## year_fe14               0.1305854  0.0669770   1.950 0.051324 .  
## year_fe15              -0.0306232  0.0680754  -0.450 0.652864    
## year_fe16               0.0621019  0.0701556   0.885 0.376134    
## year_fe17               0.0521562  0.0702548   0.742 0.457924    
## year_fe18               0.0985980  0.0713362   1.382 0.167048    
## year_fe19               0.0999149  0.0727656   1.373 0.169844    
## year_fe20               0.1480082  0.0739619   2.001 0.045487 *  
## year_fe21               0.1086429  0.0762775   1.424 0.154483    
## year_fe22               0.1133249  0.0778598   1.455 0.145659    
## year_fe23               0.0765527  0.0792987   0.965 0.334454    
## year_fe24               0.0810541  0.0799165   1.014 0.310570    
## year_fe25               0.1154204  0.0845609   1.365 0.172397    
## year_fe26               0.0890630  0.0830096   1.073 0.283410    
## year_fe27               0.0586199  0.0809028   0.725 0.468783    
## year_fe28               0.1058665  0.0809386   1.308 0.191000    
## year_fe29               0.0135834  0.0874962   0.155 0.876641    
## year_fe30              -0.0079645  0.0835196  -0.095 0.924036    
## year_fe31               0.0134045  0.0846034   0.158 0.874124    
## year_fe32              -0.0170380  0.0867806  -0.196 0.844365    
## year_fe33               0.0317295  0.0809541   0.392 0.695134    
## year_fe34               0.0447559  0.0802697   0.558 0.577189    
## party_fe2              -0.0880038  0.1187608  -0.741 0.458753    
## party_fe3              -0.0090375  0.1187887  -0.076 0.939361    
## party_fe4               0.3030250  0.1200433   2.524 0.011655 *  
## party_fe5               0.2926234  0.1195559   2.448 0.014451 *  
## party_fe6               0.4573079  0.1220511   3.747 0.000183 ***
## party_fe7              -0.1048409  0.1445772  -0.725 0.468426    
## party_fe8               0.0059388  0.1443916   0.041 0.967195    
## party_fe9               0.1384228  0.1442491   0.960 0.337346    
## party_fe10              0.1926896  0.1442773   1.336 0.181819    
## party_fe11              0.3630534  0.1449090   2.505 0.012296 *  
## party_fe12              0.1841796  0.2073329   0.888 0.374451    
## party_fe13             -0.1149415  0.1347932  -0.853 0.393894    
## party_fe14             -0.2472859  0.1314229  -1.882 0.060007 .  
## party_fe15             -0.0344166  0.1182209  -0.291 0.770983    
## party_fe16             -0.1578787  0.1016178  -1.554 0.120396    
## party_fe17              0.0532651  0.1014353   0.525 0.599551    
## party_fe18              0.4244077  0.1095028   3.876 0.000109 ***
## party_fe19              0.1030205  0.1015717   1.014 0.310557    
## party_fe20              0.4811705  0.1048143   4.591 4.64e-06 ***
## party_fe21              0.4147259  0.1062778   3.902 9.78e-05 ***
## party_fe22              0.4228373  0.1041971   4.058 5.10e-05 ***
## party_fe23              0.5982282  0.1303224   4.590 4.65e-06 ***
## party_fe24             -0.0016702  0.1184416  -0.014 0.988750    
## party_fe25             -0.2180692  0.1186313  -1.838 0.066152 .  
## party_fe26             -0.0090677  0.1184728  -0.077 0.938997    
## party_fe27              0.1369018  0.3392446   0.404 0.686580    
## party_fe28              0.3668058  0.2092108   1.753 0.079678 .  
## party_fe29              0.2734547  0.1204348   2.271 0.023259 *  
## party_fe30              0.2474997  0.1198083   2.066 0.038952 *  
## party_fe31              0.0742034  0.1053733   0.704 0.481378    
## party_fe32              0.1536765  0.1055900   1.455 0.145684    
## party_fe33              0.2601209  0.1593064   1.633 0.102632    
## party_fe34              0.0966137  0.1057422   0.914 0.360979    
## party_fe35              0.0095857  0.1037430   0.092 0.926389    
## party_fe36              0.1142117  0.2464974   0.463 0.643163    
## party_fe37              0.3428375  0.1045414   3.279 0.001055 ** 
## party_fe38              0.3667881  0.1186075   3.092 0.002007 ** 
## party_fe39              0.1819029  0.2075873   0.876 0.380968    
## party_fe40              0.3104229  0.1872459   1.658 0.097478 .  
## party_fe41              0.1541867  0.2068774   0.745 0.456159    
## party_fe42              0.1964691  0.1509103   1.302 0.193075    
## party_fe43              0.7947404  0.2101528   3.782 0.000159 ***
## party_fe44              0.2986374  0.1038751   2.875 0.004075 ** 
## party_fe45              0.1543287  0.1031699   1.496 0.134816    
## party_fe46              0.1513103  0.1114923   1.357 0.174862    
## party_fe47              0.1013375  0.1185869   0.855 0.392887    
## party_fe48              0.0810561  0.1294128   0.626 0.531151    
## party_fe49              0.0974476  0.1031805   0.944 0.345038    
## party_fe50              0.1743609  0.1032783   1.688 0.091487 .  
## party_fe51              0.3929741  0.1050866   3.740 0.000189 ***
## party_fe52             -0.1409121  0.2070265  -0.681 0.496159    
## party_fe53              0.2086132  0.1039991   2.006 0.044975 *  
## party_fe54              0.1213801  0.1857144   0.654 0.513440    
## party_fe55              0.5454491  0.1461412   3.732 0.000194 ***
## party_fe56              0.1866439  0.2075135   0.899 0.368511    
## party_fe57              0.4512700  0.1884914   2.394 0.016735 *  
## party_fe58              0.0987381  0.1886079   0.524 0.600666    
## party_fe59              0.0172596  0.1448174   0.119 0.905141    
## party_fe60              0.1452976  0.1408112   1.032 0.302238    
## party_fe61              0.0893350  0.1595585   0.560 0.575606    
## party_fe62             -0.2716294  0.1263478  -2.150 0.031664 *  
## party_fe63             -0.1834329  0.3376359  -0.543 0.586982    
## party_fe64              0.0030045  0.1074369   0.028 0.977692    
## party_fe65              0.2579341  0.1082286   2.383 0.017237 *  
## party_fe66              0.1539460  0.1077079   1.429 0.153047    
## party_fe67             -0.0615313  0.1226510  -0.502 0.615939    
## party_fe68              0.2072155  0.1895641   1.093 0.274450    
## party_fe69             -0.1700719  0.1115448  -1.525 0.127463    
## party_fe70             -0.0175394  0.1112671  -0.158 0.874759    
## party_fe71              0.2457412  0.3442281   0.714 0.475363    
## party_fe72              0.1595149  0.3441279   0.464 0.643023    
## party_fe73              0.3479263  0.1190182   2.923 0.003495 ** 
## party_fe74              0.3745313  0.1298716   2.884 0.003962 ** 
## party_fe75              0.2702336  0.1126090   2.400 0.016480 *  
## party_fe76              0.1374573  0.1486291   0.925 0.355143    
## party_fe77              0.6311210  0.1198188   5.267 1.50e-07 ***
## party_fe78              0.4308819  0.2492962   1.728 0.084043 .  
## party_fe79              0.1235263  0.1268912   0.973 0.330410    
## party_fe80              0.1484906  0.1863446   0.797 0.425609    
## party_fe81              0.1120651  0.1458803   0.768 0.442443    
## party_fe82             -0.0225747  0.1523086  -0.148 0.882184    
## party_fe83             -0.0878308  0.1225321  -0.717 0.473566    
## party_fe84              0.0386934  0.1601345   0.242 0.809086    
## party_fe85              0.1598260  0.1121459   1.425 0.154237    
## party_fe86              0.0874149  0.3388105   0.258 0.796424    
## party_fe87              0.6031011  0.1204093   5.009 5.87e-07 ***
## party_fe88              0.2472737  0.1242378   1.990 0.046665 *  
## party_fe89              0.6015624  0.1877877   3.203 0.001375 ** 
## party_fe90              0.0743475  0.1609822   0.462 0.644239    
## party_fe91              0.2983856  0.1282176   2.327 0.020036 *  
## party_fe92              0.5109299  0.1291917   3.955 7.88e-05 ***
## party_fe93              0.3804442  0.1286639   2.957 0.003137 ** 
## party_fe94              0.1484906  0.1863446   0.797 0.425609    
## party_fe95              0.2666569  0.2486834   1.072 0.283702    
## party_fe96              0.3308510  0.1175013   2.816 0.004905 ** 
## party_fe97              0.5958273  0.1876369   3.175 0.001515 ** 
## party_fe98              0.4425969  0.1874239   2.361 0.018280 *  
## party_fe99              0.3135538  0.3395897   0.923 0.355925    
## party_fe100             0.6752316  0.1618099   4.173 3.11e-05 ***
## party_fe101            -0.1840285  0.1887417  -0.975 0.329642    
## party_fe102             0.6804118  0.1305206   5.213 2.01e-07 ***
## party_fe103             0.7397033  0.1627014   4.546 5.72e-06 ***
## party_fe104             0.4425969  0.1874239   2.361 0.018280 *  
## party_fe105             0.4876513  0.1123684   4.340 1.48e-05 ***
## party_fe106             0.3611372  0.1190377   3.034 0.002440 ** 
## party_fe107             0.2747025  0.1417172   1.938 0.052690 .  
## party_fe108            -0.0812654  0.1126901  -0.721 0.470891    
## party_fe109            -0.0008648  0.1125250  -0.008 0.993869    
## party_fe110             0.0910188  0.2142397   0.425 0.670986    
## party_fe111             0.2167239  0.2524714   0.858 0.390750    
## party_fe112             0.0229034  0.1421488   0.161 0.872010    
## party_fe113             0.2150290  0.1131498   1.900 0.057498 .  
## party_fe114             0.1599907  0.1128346   1.418 0.156340    
## party_fe115             0.0618588  0.2503553   0.247 0.804864    
## party_fe116             0.1214421  0.1174177   1.034 0.301110    
## party_fe117            -0.0169608  0.1376591  -0.123 0.901952    
## party_fe118            -0.0408896  0.1131758  -0.361 0.717912    
## party_fe119            -0.0131121  0.2112978  -0.062 0.950524    
## party_fe120             0.2260649  0.1141572   1.980 0.047781 *  
## party_fe121             0.3871579  0.1651809   2.344 0.019165 *  
## party_fe122             0.2389240  0.1270462   1.881 0.060143 .  
## party_fe123             0.3452233  0.1732516   1.993 0.046414 *  
## party_fe124            -0.0374487  0.1309105  -0.286 0.774854    
## party_fe125            -0.0129195  0.1093929  -0.118 0.905997    
## party_fe126            -0.0435818  0.1182472  -0.369 0.712483    
## party_fe127            -0.2037648  0.3395102  -0.600 0.548446    
## party_fe128            -0.0052954  0.1093313  -0.048 0.961374    
## party_fe129             0.3176381  0.1738427   1.827 0.067797 .  
## party_fe130             0.2013937  0.1100088   1.831 0.067265 .  
## party_fe131             0.4674298  0.2120481   2.204 0.027591 *  
## party_fe132             0.2166671  0.1103854   1.963 0.049779 *  
## party_fe133            -0.0264855  0.1113489  -0.238 0.812009    
## party_fe134            -0.1371782  0.1274816  -1.076 0.282004    
## party_fe135            -0.0589440  0.2101570  -0.280 0.779136    
## party_fe136            -0.0223708  0.3391167  -0.066 0.947409    
## party_fe137             0.0215265  0.1083965   0.199 0.842599    
## party_fe138             0.2077775  0.1088237   1.909 0.056339 .  
## party_fe139             0.3653409  0.1100881   3.319 0.000918 ***
## party_fe140             0.0927677  0.1193210   0.777 0.436960    
## party_fe141             0.0210796  0.1687458   0.125 0.900598    
## party_fe142             0.0193485  0.1191665   0.162 0.871032    
## party_fe143             0.2418465  0.1213397   1.993 0.046357 *  
## party_fe144             0.9028377  0.2125795   4.247 2.25e-05 ***
## party_fe145             0.2406023  0.1204345   1.998 0.045850 *  
## party_fe146             0.1741991  0.1847314   0.943 0.345780    
## party_fe147             0.1242202  0.1509892   0.823 0.410753    
## party_fe148             0.0441263  0.1028717   0.429 0.668001    
## party_fe149             0.1445903  0.1442337   1.002 0.316214    
## party_fe150             0.1389095  0.1033048   1.345 0.178860    
## party_fe151             0.4515378  0.1055058   4.280 1.94e-05 ***
## party_fe152             0.2192484  0.1286292   1.704 0.088414 .  
## party_fe153             0.0740555  0.1117510   0.663 0.507595    
## party_fe154            -0.0944543  0.1332239  -0.709 0.478398    
## party_fe155             0.1041296  0.1389449   0.749 0.453669    
## party_fe156             0.0413862  0.1035325   0.400 0.689382    
## party_fe157             0.3068198  0.1108285   2.768 0.005675 ** 
## party_fe158             0.2781891  0.1044983   2.662 0.007815 ** 
## party_fe159             0.1140079  0.1041062   1.095 0.273574    
## party_fe160             0.1631479  0.3382814   0.482 0.629647    
## party_fe161             0.1355188  0.3382644   0.401 0.688727    
## party_fe162             0.2312469  0.3383493   0.683 0.494383    
## party_fe163             0.2555983  0.3383824   0.755 0.450109    
## party_fe164             0.0487751  0.2110276   0.231 0.817232    
## party_fe165            -0.1735166  0.1894234  -0.916 0.359743    
## party_fe166             0.4410974  0.1903440   2.317 0.020565 *  
## party_fe167             0.4349770  0.2118077   2.054 0.040116 *  
## party_fe168             0.4221249  0.2117514   1.993 0.046318 *  
## party_fe169             0.2211434  0.1895063   1.167 0.243345    
## party_fe170             0.1534387  0.1857609   0.826 0.408883    
## party_fe171             0.0035356  0.1595412   0.022 0.982321    
## party_fe172             0.1916618  0.1597108   1.200 0.230233    
## party_fe173             0.4154971  0.1624521   2.558 0.010597 *  
## party_fe174             0.3324637  0.1852808   1.794 0.072875 .  
## party_fe175             0.4205021  0.3388328   1.241 0.214712    
## party_fe176             0.5463102  0.3392424   1.610 0.107442    
## party_fe177             0.2134360  0.2103878   1.014 0.310449    
## party_fe178             0.2453897  0.1614739   1.520 0.128718    
## party_fe179            -0.0132772  0.1615951  -0.082 0.934523    
## party_fe180             0.4499886  0.1621340   2.775 0.005555 ** 
## party_fe181             0.4496643  0.1623793   2.769 0.005661 ** 
## party_fe182             0.6408395  0.2492585   2.571 0.010199 *  
## party_fe183             0.2945113  0.1855243   1.587 0.112538    
## party_fe184             0.2647011  0.1594122   1.660 0.096945 .  
## party_fe185             0.0904102  0.1853465   0.488 0.625742    
## party_fe186             0.1814180  0.1598118   1.135 0.256403    
## party_fe187             0.4861894  0.1710220   2.843 0.004508 ** 
## party_fe188             0.5401482  0.1709204   3.160 0.001596 ** 
## party_fe189             0.2861097  0.3414286   0.838 0.402124    
## party_fe190             0.3216685  0.3414942   0.942 0.346313    
## party_fe191             0.2033240  0.3413142   0.596 0.551424    
## party_fe192             0.3569319  0.3415691   1.045 0.296136    
## party_fe193             0.3595983  0.3415752   1.053 0.292552    
## party_fe194             0.3931929  0.3416563   1.151 0.249908    
## party_fe195             0.2703869  0.3424509   0.790 0.429858    
## party_fe196             0.4054113  0.1666046   2.433 0.015029 *  
## party_fe197             0.3598211  0.1667737   2.158 0.031060 *  
## party_fe198             0.1522566  0.2526642   0.603 0.546827    
## party_fe199             0.3393703  0.2540101   1.336 0.181656    
## party_fe200             0.2747369  0.2543146   1.080 0.280113    
## party_fe201             0.1773904  0.3380734   0.525 0.599832    
## party_fe202             0.2148674  0.3381090   0.635 0.525163    
## party_fe203            -0.0251986  0.1587756  -0.159 0.873914    
## party_fe204             0.5018604  0.3387511   1.482 0.138601    
## party_fe205             0.5171293  0.1614038   3.204 0.001373 ** 
## party_fe206             0.1154078  0.1598695   0.722 0.470432    
## party_fe207             0.4326415  0.1849776   2.339 0.019421 *  
## party_fe208             0.3117364  0.1600650   1.948 0.051581 .  
## party_fe209             0.1621172  0.1610375   1.007 0.314176    
## party_fe210             0.2179283  0.1611745   1.352 0.176459    
## party_fe211             0.3463078  0.1606797   2.155 0.031237 *  
## party_fe212             0.1254263  0.2468618   0.508 0.611440    
## party_fe213             0.2896569  0.1612993   1.796 0.072653 .  
## party_fe214             0.2228345  0.1611267   1.383 0.166797    
## party_fe215             0.4276911  0.1622094   2.637 0.008425 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3246 on 2465 degrees of freedom
## Multiple R-squared:  0.888,  Adjusted R-squared:  0.8765 
## F-statistic: 77.52 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb90"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb90-1" data-line-number="1"><span class="kw">stargazer</span>(modela3)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:54:59
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.448$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.029$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spknonaffiliated\_ruled &amp; 0.001$^{*}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.014 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.050 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.100 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.115$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.083 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.106 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.033 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.126$^{*}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.128$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.166$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.131$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.031 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.062 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.052 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.099 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.100 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.148$^{**}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.109 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.113 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.077 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.081 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.115 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.089 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.059 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.106 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.014 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.008 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.013 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.017 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.032 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.045 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.457$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.105 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.006 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.138 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.193 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.363$^{**}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.184 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.115 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.247$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.034 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.158 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.053 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.424$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.103 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.481$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.598$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.002 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.218$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.009 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.137 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.367$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.273$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.074 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.154 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.260 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.097 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.010 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.114 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.343$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.367$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.182 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.310$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.154 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.196 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.795$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.299$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.154 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.151 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.081 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.097 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.174$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.393$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.141 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.209$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.121 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.545$^{***}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.187 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.451$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.099 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.017 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.145 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.089 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.272$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.183 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.003 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.154 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.062 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.207 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.170 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.246 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.160 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.348$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.375$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.270$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.137 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.631$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.431$^{*}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.124 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.148 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.112 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.023 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.088 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.039 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.160 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.087 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.603$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.602$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.074 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.298$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.511$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.380$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.148 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.267 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.596$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.443$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.314 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.675$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.184 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.680$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.740$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.443$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.488$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.361$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.275$^{*}$ \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.081 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.001 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.091 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.217 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.023 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.160 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.062 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.121 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.017 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.041 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.013 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.226$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.387$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.239$^{*}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.345$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.037 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.013 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.044 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.204 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.318$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.201$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.467$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.217$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.026 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.137 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.059 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.022 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.022 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.365$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.093 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.021 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.019 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.242$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.903$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.241$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.174 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.124 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.044 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.145 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.139 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.452$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.074 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.094 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.104 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.041 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.307$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.278$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.114 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.163 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.136 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.231 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.256 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.049 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.174 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.441$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.435$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.422$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.221 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.153 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; 0.004 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.192 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.415$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.332$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.421 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.546 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.213 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.245 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.013 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.450$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.450$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.641$^{**}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.295 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.265$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.090 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.181 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.540$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.286 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.322 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.203 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.357 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.360 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.393 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.270 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.405$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.360$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.152 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.339 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.275 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.177 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.215 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.025 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.502 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.517$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.115 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.433$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.312$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.162 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.218 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.346$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.125 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.290$^{*}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.223 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.428$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.083 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.519$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="table-s7" class="section level2">
<h2>Table S7</h2>
<div class="sourceCode" id="cb92"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb92-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb92-2" data-line-number="2"></a>
<a class="sourceLine" id="cb92-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_interpol.RData&quot;</span>)</a>
<a class="sourceLine" id="cb92-4" data-line-number="4"></a>
<a class="sourceLine" id="cb92-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb92-6" data-line-number="6"></a>
<a class="sourceLine" id="cb92-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb92-8" data-line-number="8"></a>
<a class="sourceLine" id="cb92-9" data-line-number="9"><span class="co"># Model LI1 in Table S7 </span></a>
<a class="sourceLine" id="cb92-10" data-line-number="10"></a>
<a class="sourceLine" id="cb92-11" data-line-number="11">modelli1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.linear ~  spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 +  year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb92-12" data-line-number="12"></a>
<a class="sourceLine" id="cb92-13" data-line-number="13">modelli1 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelli1, <span class="dt">data =</span> dataframe_interpol)</a>
<a class="sourceLine" id="cb92-14" data-line-number="14"><span class="kw">summary</span>(modelli1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelli1, data = dataframe_interpol)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.52475 -0.25563 -0.00838  0.21805  2.01431 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)  4.122931   0.159484  25.852  &lt; 2e-16 ***
## spruled      0.006430   0.001658   3.879 0.000108 ***
## year_fe2     0.013273   0.093145   0.143 0.886695    
## year_fe3     0.099204   0.092126   1.077 0.281663    
## year_fe4     0.101364   0.092440   1.097 0.272950    
## year_fe5     0.127063   0.093009   1.366 0.172023    
## year_fe6     0.336280   0.092691   3.628 0.000291 ***
## year_fe7     0.388720   0.094693   4.105 4.17e-05 ***
## year_fe8     0.323579   0.089760   3.605 0.000318 ***
## year_fe9     0.154537   0.099145   1.559 0.119195    
## year_fe10    0.123367   0.113402   1.088 0.276758    
## year_fe11    0.166918   0.100700   1.658 0.097530 .  
## year_fe12    0.179517   0.095025   1.889 0.058988 .  
## year_fe13    0.248941   0.088904   2.800 0.005148 ** 
## year_fe14    0.315348   0.086020   3.666 0.000252 ***
## year_fe15   -0.008423   0.110053  -0.077 0.939002    
## year_fe16   -0.206768   0.144083  -1.435 0.151398    
## year_fe17   -0.177934   0.135611  -1.312 0.189611    
## year_fe18   -0.197534   0.135262  -1.460 0.144313    
## year_fe19   -0.125504   0.117839  -1.065 0.286961    
## year_fe20   -0.189368   0.176068  -1.076 0.282238    
## year_fe21   -0.226179   0.184390  -1.227 0.220078    
## year_fe22   -0.257802   0.178491  -1.444 0.148770    
## year_fe23   -0.431514   0.202073  -2.135 0.032824 *  
## year_fe24   -0.477429   0.204208  -2.338 0.019469 *  
## year_fe25   -0.385810   0.184389  -2.092 0.036507 *  
## year_fe26   -0.446766   0.195183  -2.289 0.022166 *  
## year_fe27   -0.218109   0.147129  -1.482 0.138352    
## year_fe28   -0.294242   0.154570  -1.904 0.057076 .  
## year_fe29   -0.751382   0.259753  -2.893 0.003853 ** 
## year_fe30   -0.732820   0.234818  -3.121 0.001824 ** 
## year_fe31   -0.552064   0.189978  -2.906 0.003694 ** 
## year_fe32   -0.668970   0.205203  -3.260 0.001129 ** 
## year_fe33   -0.706278   0.214189  -3.297 0.000990 ***
## year_fe34   -0.691548   0.208475  -3.317 0.000923 ***
## party_fe2   -0.530861   0.163629  -3.244 0.001193 ** 
## party_fe3    0.194269   0.163629   1.187 0.235243    
## party_fe4    1.202170   0.163629   7.347 2.74e-13 ***
## party_fe5    1.095977   0.163629   6.698 2.61e-11 ***
## party_fe6    1.874383   0.163629  11.455  &lt; 2e-16 ***
## party_fe7   -0.740232   0.197162  -3.754 0.000178 ***
## party_fe8   -0.470885   0.197162  -2.388 0.017000 *  
## party_fe9    0.137389   0.197162   0.697 0.485973    
## party_fe10   0.251137   0.197162   1.274 0.202868    
## party_fe11   1.015505   0.197162   5.151 2.80e-07 ***
## party_fe12   0.461849   0.284626   1.623 0.104792    
## party_fe13  -0.280629   0.185705  -1.511 0.130877    
## party_fe14  -0.820458   0.180748  -4.539 5.92e-06 ***
## party_fe15  -0.420697   0.161288  -2.608 0.009152 ** 
## party_fe16  -0.648814   0.139978  -4.635 3.75e-06 ***
## party_fe17   0.192546   0.139978   1.376 0.169088    
## party_fe18   1.643303   0.148054  11.099  &lt; 2e-16 ***
## party_fe19   0.436902   0.139978   3.121 0.001822 ** 
## party_fe20   1.998257   0.139978  14.275  &lt; 2e-16 ***
## party_fe21   1.633330   0.142982  11.423  &lt; 2e-16 ***
## party_fe22   1.762847   0.139978  12.594  &lt; 2e-16 ***
## party_fe23   1.972882   0.173778  11.353  &lt; 2e-16 ***
## party_fe24  -0.141038   0.161090  -0.876 0.381377    
## party_fe25  -0.812683   0.161090  -5.045 4.87e-07 ***
## party_fe26  -0.129940   0.161090  -0.807 0.419959    
## party_fe27   0.514961   0.466127   1.105 0.269369    
## party_fe28   1.309316   0.284611   4.600 4.43e-06 ***
## party_fe29   1.044097   0.161090   6.481 1.09e-10 ***
## party_fe30   0.943823   0.161090   5.859 5.28e-09 ***
## party_fe31   0.246793   0.143471   1.720 0.085530 .  
## party_fe32   0.493921   0.143471   3.443 0.000586 ***
## party_fe33   0.597913   0.217687   2.747 0.006064 ** 
## party_fe34   0.118587   0.143536   0.826 0.408780    
## party_fe35   0.017394   0.141136   0.123 0.901924    
## party_fe36   0.237300   0.338986   0.700 0.483975    
## party_fe37   1.263326   0.139803   9.036  &lt; 2e-16 ***
## party_fe38   1.247265   0.158349   7.877 4.99e-15 ***
## party_fe39   0.541655   0.285160   1.899 0.057618 .  
## party_fe40   1.175767   0.255197   4.607 4.29e-06 ***
## party_fe41   0.515951   0.285011   1.810 0.070373 .  
## party_fe42   0.139852   0.206033   0.679 0.497340    
## party_fe43   2.651303   0.284567   9.317  &lt; 2e-16 ***
## party_fe44   1.024578   0.139803   7.329 3.13e-13 ***
## party_fe45   0.520652   0.139803   3.724 0.000200 ***
## party_fe46   0.375293   0.151701   2.474 0.013431 *  
## party_fe47   0.152461   0.161095   0.946 0.344035    
## party_fe48  -0.081423   0.175624  -0.464 0.642960    
## party_fe49   0.200076   0.139509   1.434 0.151658    
## party_fe50   0.424341   0.139509   3.042 0.002377 ** 
## party_fe51   1.453751   0.139509  10.420  &lt; 2e-16 ***
## party_fe52   0.159540   0.284668   0.560 0.575229    
## party_fe53   0.687861   0.140118   4.909 9.74e-07 ***
## party_fe54   0.424238   0.255517   1.660 0.096979 .  
## party_fe55   1.698910   0.196625   8.640  &lt; 2e-16 ***
## party_fe56   0.924495   0.284668   3.248 0.001179 ** 
## party_fe57   2.430620   0.253041   9.606  &lt; 2e-16 ***
## party_fe58   0.003602   0.254122   0.014 0.988693    
## party_fe59  -0.401250   0.190677  -2.104 0.035449 *  
## party_fe60   0.201047   0.189374   1.062 0.288501    
## party_fe61  -0.127763   0.217168  -0.588 0.556375    
## party_fe62  -1.317720   0.160616  -8.204 3.69e-16 ***
## party_fe63  -0.895464   0.464867  -1.926 0.054184 .  
## party_fe64  -0.248307   0.139562  -1.779 0.075332 .  
## party_fe65   0.803238   0.139562   5.755 9.71e-09 ***
## party_fe66   0.377429   0.139562   2.704 0.006890 ** 
## party_fe67  -0.245492   0.158823  -1.546 0.122305    
## party_fe68   0.738258   0.253155   2.916 0.003575 ** 
## party_fe69  -0.638188   0.139461  -4.576 4.97e-06 ***
## party_fe70  -0.089174   0.139461  -0.639 0.522609    
## party_fe71   0.851713   0.468044   1.820 0.068922 .  
## party_fe72   0.505213   0.468044   1.079 0.280509    
## party_fe73   1.452950   0.147456   9.853  &lt; 2e-16 ***
## party_fe74   1.461210   0.162782   8.976  &lt; 2e-16 ***
## party_fe75   1.091193   0.140732   7.754 1.30e-14 ***
## party_fe76   0.462422   0.196636   2.352 0.018768 *  
## party_fe77   2.416121   0.147823  16.345  &lt; 2e-16 ***
## party_fe78   1.666021   0.338730   4.918 9.30e-07 ***
## party_fe79   0.548505   0.167729   3.270 0.001090 ** 
## party_fe80   0.503330   0.253055   1.989 0.046810 *  
## party_fe81   0.187536   0.185088   1.013 0.311052    
## party_fe82  -0.267003   0.198162  -1.347 0.177975    
## party_fe83  -0.327685   0.164238  -1.995 0.046132 *  
## party_fe84   0.367550   0.216971   1.694 0.090389 .  
## party_fe85   0.613801   0.143406   4.280 1.94e-05 ***
## party_fe86   0.105852   0.464709   0.228 0.819836    
## party_fe87   2.290441   0.148716  15.401  &lt; 2e-16 ***
## party_fe88   0.792787   0.156354   5.070 4.26e-07 ***
## party_fe89   2.413544   0.254405   9.487  &lt; 2e-16 ***
## party_fe90   0.367550   0.216971   1.694 0.090389 .  
## party_fe91   0.908161   0.160422   5.661 1.68e-08 ***
## party_fe92   1.739131   0.160422  10.841  &lt; 2e-16 ***
## party_fe93   1.281221   0.160422   7.987 2.11e-15 ***
## party_fe94   0.503330   0.253055   1.989 0.046810 *  
## party_fe95   1.006085   0.338730   2.970 0.003005 ** 
## party_fe96   1.230101   0.148716   8.271  &lt; 2e-16 ***
## party_fe97   2.408642   0.254405   9.468  &lt; 2e-16 ***
## party_fe98   1.685192   0.253055   6.659 3.38e-11 ***
## party_fe99   1.379622   0.466214   2.959 0.003114 ** 
## party_fe100  2.122706   0.218262   9.725  &lt; 2e-16 ***
## party_fe101  1.115432   0.253071   4.408 1.09e-05 ***
## party_fe102  2.570373   0.170242  15.098  &lt; 2e-16 ***
## party_fe103  2.143958   0.216971   9.881  &lt; 2e-16 ***
## party_fe104  1.685192   0.253055   6.659 3.38e-11 ***
## party_fe105  1.809025   0.141694  12.767  &lt; 2e-16 ***
## party_fe106  1.686181   0.157019  10.739  &lt; 2e-16 ***
## party_fe107  0.704158   0.189247   3.721 0.000203 ***
## party_fe108 -0.399982   0.146714  -2.726 0.006451 ** 
## party_fe109  0.006238   0.146714   0.043 0.966089    
## party_fe110  0.741671   0.285736   2.596 0.009497 ** 
## party_fe111  0.767642   0.339981   2.258 0.024039 *  
## party_fe112  0.029348   0.184496   0.159 0.873625    
## party_fe113  0.892640   0.146714   6.084 1.35e-09 ***
## party_fe114  0.659090   0.146714   4.492 7.37e-06 ***
## party_fe115 -0.055585   0.338563  -0.164 0.869603    
## party_fe116  0.430359   0.152090   2.830 0.004698 ** 
## party_fe117  0.094574   0.178925   0.529 0.597152    
## party_fe118 -0.144406   0.144967  -0.996 0.319284    
## party_fe119 -0.139226   0.285024  -0.488 0.625259    
## party_fe120  1.348288   0.144967   9.301  &lt; 2e-16 ***
## party_fe121  1.185123   0.217586   5.447 5.64e-08 ***
## party_fe122  0.755520   0.170382   4.434 9.64e-06 ***
## party_fe123  1.077465   0.233409   4.616 4.11e-06 ***
## party_fe124 -0.355427   0.178197  -1.995 0.046200 *  
## party_fe125  0.100395   0.146736   0.684 0.493918    
## party_fe126 -0.238144   0.159131  -1.497 0.134644    
## party_fe127 -0.751917   0.466343  -1.612 0.107009    
## party_fe128  0.213787   0.146736   1.457 0.145257    
## party_fe129  1.508757   0.233409   6.464 1.22e-10 ***
## party_fe130  0.917413   0.146736   6.252 4.76e-10 ***
## party_fe131  2.194358   0.285762   7.679 2.29e-14 ***
## party_fe132  0.875103   0.146736   5.964 2.82e-09 ***
## party_fe133 -0.045452   0.144769  -0.314 0.753578    
## party_fe134 -0.590325   0.167037  -3.534 0.000417 ***
## party_fe135 -0.477338   0.284465  -1.678 0.093470 .  
## party_fe136 -0.065969   0.464945  -0.142 0.887182    
## party_fe137  0.260195   0.139622   1.864 0.062502 .  
## party_fe138  0.975997   0.139622   6.990 3.52e-12 ***
## party_fe139  1.650487   0.139622  11.821  &lt; 2e-16 ***
## party_fe140  0.563890   0.163716   3.444 0.000582 ***
## party_fe141 -0.098589   0.232181  -0.425 0.671150    
## party_fe142  0.413327   0.163716   2.525 0.011643 *  
## party_fe143  1.259307   0.163716   7.692 2.08e-14 ***
## party_fe144  3.579669   0.284562  12.580  &lt; 2e-16 ***
## party_fe145  1.260616   0.163716   7.700 1.95e-14 ***
## party_fe146  0.662502   0.253095   2.618 0.008909 ** 
## party_fe147  0.406722   0.205632   1.978 0.048050 *  
## party_fe148  0.070052   0.139453   0.502 0.615479    
## party_fe149  0.448587   0.198015   2.265 0.023573 *  
## party_fe150  0.498048   0.139453   3.571 0.000362 ***
## party_fe151  1.835526   0.139453  13.162  &lt; 2e-16 ***
## party_fe152  0.808875   0.174026   4.648 3.53e-06 ***
## party_fe153 -0.037849   0.151693  -0.250 0.802989    
## party_fe154 -0.838894   0.179610  -4.671 3.16e-06 ***
## party_fe155 -0.096583   0.189659  -0.509 0.610625    
## party_fe156 -0.047029   0.139464  -0.337 0.735983    
## party_fe157  1.003795   0.148993   6.737 2.00e-11 ***
## party_fe158  0.877312   0.139464   6.291 3.73e-10 ***
## party_fe159  0.521736   0.139464   3.741 0.000187 ***
## party_fe160  0.227902   0.464880   0.490 0.624009    
## party_fe161  0.116876   0.464880   0.251 0.801518    
## party_fe162  0.501557   0.464880   1.079 0.280740    
## party_fe163  0.599413   0.464880   1.289 0.197383    
## party_fe164 -0.083355   0.284399  -0.293 0.769476    
## party_fe165 -0.110799   0.252970  -0.438 0.661431    
## party_fe166  1.504822   0.252970   5.949 3.09e-09 ***
## party_fe167  1.468591   0.284399   5.164 2.61e-07 ***
## party_fe168  1.416945   0.284399   4.982 6.72e-07 ***
## party_fe169  0.530603   0.252970   2.097 0.036052 *  
## party_fe170  0.673000   0.253167   2.658 0.007904 ** 
## party_fe171 -0.093156   0.217114  -0.429 0.667914    
## party_fe172  0.451302   0.217114   2.079 0.037753 *  
## party_fe173  1.863276   0.217114   8.582  &lt; 2e-16 ***
## party_fe174  0.986038   0.253167   3.895 0.000101 ***
## party_fe175  1.209608   0.464634   2.603 0.009287 ** 
## party_fe176  1.715166   0.464634   3.691 0.000228 ***
## party_fe177  0.367791   0.284611   1.292 0.196389    
## party_fe178  0.683807   0.217251   3.148 0.001666 ** 
## party_fe179  0.118158   0.217251   0.544 0.586575    
## party_fe180  1.252990   0.217251   5.767 9.05e-09 ***
## party_fe181  1.128318   0.217251   5.194 2.23e-07 ***
## party_fe182  2.021126   0.338679   5.968 2.75e-09 ***
## party_fe183  0.533710   0.253106   2.109 0.035076 *  
## party_fe184  0.631949   0.217162   2.910 0.003646 ** 
## party_fe185  0.053932   0.253106   0.213 0.831281    
## party_fe186  0.721677   0.217162   3.323 0.000903 ***
## party_fe187  1.317665   0.232226   5.674 1.56e-08 ***
## party_fe188  1.314238   0.232226   5.659 1.70e-08 ***
## party_fe189  0.840009   0.464965   1.807 0.070945 .  
## party_fe190  0.982902   0.464965   2.114 0.034621 *  
## party_fe191  0.507337   0.464965   1.091 0.275322    
## party_fe192  1.124607   0.464965   2.419 0.015648 *  
## party_fe193  1.135322   0.464965   2.442 0.014687 *  
## party_fe194  1.270322   0.464965   2.732 0.006338 ** 
## party_fe195  0.894636   0.464609   1.926 0.054273 .  
## party_fe196  1.149776   0.217078   5.297 1.28e-07 ***
## party_fe197  1.249367   0.217078   5.755 9.71e-09 ***
## party_fe198  1.236173   0.338601   3.651 0.000267 ***
## party_fe199  1.564574   0.338726   4.619 4.05e-06 ***
## party_fe200  1.207274   0.338726   3.564 0.000372 ***
## party_fe201  0.362766   0.464636   0.781 0.435022    
## party_fe202  0.513366   0.464636   1.105 0.269321    
## party_fe203  0.343432   0.217349   1.580 0.114213    
## party_fe204  1.666643   0.464636   3.587 0.000341 ***
## party_fe205  2.013833   0.217349   9.265  &lt; 2e-16 ***
## party_fe206  1.178915   0.217349   5.424 6.39e-08 ***
## party_fe207  1.436130   0.253436   5.667 1.63e-08 ***
## party_fe208  1.368564   0.217349   6.297 3.59e-10 ***
## party_fe209  0.575937   0.217103   2.653 0.008033 ** 
## party_fe210  0.771552   0.217103   3.554 0.000387 ***
## party_fe211  0.768987   0.217103   3.542 0.000404 ***
## party_fe212  0.461367   0.338805   1.362 0.173402    
## party_fe213  0.947187   0.217103   4.363 1.34e-05 ***
## party_fe214  0.731637   0.217103   3.370 0.000763 ***
## party_fe215  1.601712   0.217103   7.378 2.19e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.4481 on 2469 degrees of freedom
## Multiple R-squared:  0.7698, Adjusted R-squared:  0.7467 
## F-statistic:  33.3 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb94"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb94-1" data-line-number="1"><span class="kw">stargazer</span>(modelli1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:00
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.linear \\ 
## \hline \\[-1.8ex] 
##  spruled &amp; 0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.013 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.099 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.101 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.127 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.389$^{***}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.324$^{***}$ \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.155 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.123 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.167$^{*}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.180$^{*}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.249$^{***}$ \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.315$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.008 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.207 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.178 \\ 
##   &amp; (0.136) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.198 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.126 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.189 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.226 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.258 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.432$^{**}$ \\ 
##   &amp; (0.202) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.477$^{**}$ \\ 
##   &amp; (0.204) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.386$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.447$^{**}$ \\ 
##   &amp; (0.195) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.218 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.294$^{*}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.751$^{***}$ \\ 
##   &amp; (0.260) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.733$^{***}$ \\ 
##   &amp; (0.235) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.552$^{***}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.669$^{***}$ \\ 
##   &amp; (0.205) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.706$^{***}$ \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.692$^{***}$ \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.531$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.194 \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.202$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 1.096$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 1.874$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.740$^{***}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.471$^{**}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.137 \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.251 \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.016$^{***}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.462 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.281 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.820$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.421$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.649$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.193 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.643$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.437$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 1.998$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.633$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.763$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 1.973$^{***}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.141 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.813$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.130 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.515 \\ 
##   &amp; (0.466) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.309$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 1.044$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.944$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.247$^{*}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.494$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.598$^{***}$ \\ 
##   &amp; (0.218) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.119 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.017 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.237 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.263$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.247$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.542$^{*}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.176$^{***}$ \\ 
##   &amp; (0.255) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.516$^{*}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.140 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.651$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 1.025$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.521$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.375$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.152 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.081 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.200 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.424$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.454$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.160 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.688$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.424$^{*}$ \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.699$^{***}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.924$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.431$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.004 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.401$^{**}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.201 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; $-$0.128 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.318$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.895$^{*}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.248$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.803$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.377$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.245 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.738$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.638$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.089 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.852$^{*}$ \\ 
##   &amp; (0.468) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.505 \\ 
##   &amp; (0.468) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.453$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.461$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.091$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.462$^{**}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.416$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.666$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.549$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.503$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.188 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.267 \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.328$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.368$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.614$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.106 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.290$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.793$^{***}$ \\ 
##   &amp; (0.156) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.414$^{***}$ \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.368$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.908$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.739$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.281$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.503$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 1.006$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.230$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.409$^{***}$ \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.685$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.380$^{***}$ \\ 
##   &amp; (0.466) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.123$^{***}$ \\ 
##   &amp; (0.218) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 1.115$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.570$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.144$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.685$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.809$^{***}$ \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.686$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.704$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.400$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.006 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.742$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.768$^{**}$ \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.029 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.893$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.659$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.056 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.095 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.144 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.139 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.348$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.185$^{***}$ \\ 
##   &amp; (0.218) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.756$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.077$^{***}$ \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.355$^{**}$ \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.100 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.238 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.752 \\ 
##   &amp; (0.466) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.214 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.509$^{***}$ \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.917$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.194$^{***}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.875$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.045 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.590$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.477$^{*}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.066 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.260$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.976$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.650$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.564$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.099 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.259$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.580$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.261$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.663$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.070 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.449$^{**}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.498$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.836$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.809$^{***}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.038 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.839$^{***}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; $-$0.097 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.047 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 1.004$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.877$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.522$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.228 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.117 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.502 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.599 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.083 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.111 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.505$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.469$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.417$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.531$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.673$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.093 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.451$^{**}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 1.863$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.986$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.210$^{***}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.715$^{***}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.368 \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.684$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.118 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.253$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.128$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 2.021$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.534$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.632$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.054 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.722$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.318$^{***}$ \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.314$^{***}$ \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.840$^{*}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.983$^{**}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.507 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.125$^{**}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.135$^{**}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.270$^{***}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.895$^{*}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.150$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.249$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.236$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.565$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.207$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.363 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.513 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.343 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.667$^{***}$ \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 2.014$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 1.179$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.436$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.369$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.576$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.772$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.769$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.461 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.947$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.732$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.602$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  Constant &amp; 4.123$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.770 \\ 
## Adjusted R$^{2}$ &amp; 0.747 \\ 
## Residual Std. Error &amp; 0.448 (df = 2469) \\ 
## F Statistic &amp; 33.296$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb96"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb96-1" data-line-number="1"><span class="co"># Model LI2 in Table S7</span></a>
<a class="sourceLine" id="cb96-2" data-line-number="2"></a>
<a class="sourceLine" id="cb96-3" data-line-number="3">modelli2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.linear ~ rile.y.linear_lag + lag_cmedian + lag_econ_glob + interaction + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb96-4" data-line-number="4"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb96-5" data-line-number="5"></a>
<a class="sourceLine" id="cb96-6" data-line-number="6">modelli2 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelli2, <span class="dt">data =</span> dataframe_interpol)</a>
<a class="sourceLine" id="cb96-7" data-line-number="7"><span class="kw">summary</span>(modelli2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelli2, data = dataframe_interpol)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.11822 -0.08328  0.00000  0.08305  1.35032 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -1.3608380  0.5988550  -2.272 0.023148 *  
## rile.y.linear_lag  0.8276848  0.0103039  80.327  &lt; 2e-16 ***
## lag_cmedian        0.3891648  0.1140936   3.411 0.000658 ***
## lag_econ_glob      0.0237000  0.0081242   2.917 0.003564 ** 
## interaction       -0.0048869  0.0015255  -3.204 0.001375 ** 
## spruled            0.0042050  0.0008681   4.844 1.35e-06 ***
## year_fe2           0.0443121  0.0482923   0.918 0.358928    
## year_fe3           0.0583973  0.0477521   1.223 0.221474    
## year_fe4           0.0724475  0.0481817   1.504 0.132805    
## year_fe5           0.0371897  0.0487159   0.763 0.445299    
## year_fe6           0.1716763  0.0490308   3.501 0.000471 ***
## year_fe7           0.1615720  0.0502369   3.216 0.001316 ** 
## year_fe8           0.1138897  0.0476865   2.388 0.017001 *  
## year_fe9          -0.0220578  0.0532779  -0.414 0.678900    
## year_fe10         -0.0943909  0.0608914  -1.550 0.121233    
## year_fe11         -0.0746460  0.0539295  -1.384 0.166441    
## year_fe12         -0.0505415  0.0509473  -0.992 0.321278    
## year_fe13          0.0304756  0.0478324   0.637 0.524098    
## year_fe14          0.0955376  0.0478537   1.996 0.045995 *  
## year_fe15         -0.1280075  0.0610799  -2.096 0.036207 *  
## year_fe16         -0.2368474  0.0790550  -2.996 0.002763 ** 
## year_fe17         -0.1985265  0.0750495  -2.645 0.008214 ** 
## year_fe18         -0.1957771  0.0757729  -2.584 0.009831 ** 
## year_fe19         -0.1287916  0.0674224  -1.910 0.056221 .  
## year_fe20         -0.2154202  0.0970403  -2.220 0.026516 *  
## year_fe21         -0.3040951  0.1021623  -2.977 0.002943 ** 
## year_fe22         -0.3366508  0.1005704  -3.347 0.000828 ***
## year_fe23         -0.4246532  0.1133915  -3.745 0.000185 ***
## year_fe24         -0.4084278  0.1146888  -3.561 0.000376 ***
## year_fe25         -0.3148642  0.1067637  -2.949 0.003216 ** 
## year_fe26         -0.3621744  0.1115061  -3.248 0.001178 ** 
## year_fe27         -0.2081511  0.0872704  -2.385 0.017148 *  
## year_fe28         -0.2806074  0.0909877  -3.084 0.002065 ** 
## year_fe29         -0.5648710  0.1437376  -3.930 8.73e-05 ***
## year_fe30         -0.5447712  0.1300827  -4.188 2.91e-05 ***
## year_fe31         -0.3895131  0.1085666  -3.588 0.000340 ***
## year_fe32         -0.4386788  0.1165951  -3.762 0.000172 ***
## year_fe33         -0.4284706  0.1198252  -3.576 0.000356 ***
## year_fe34         -0.4210476  0.1167200  -3.607 0.000316 ***
## party_fe2         -0.0468344  0.0849609  -0.551 0.581515    
## party_fe3         -0.0984880  0.0848253  -1.161 0.245726    
## party_fe4          0.1546007  0.0857445   1.803 0.071504 .  
## party_fe5          0.1816495  0.0855079   2.124 0.033739 *  
## party_fe6          0.2365451  0.0871653   2.714 0.006699 ** 
## party_fe7         -0.1633974  0.1030912  -1.585 0.113099    
## party_fe8         -0.0888282  0.1029157  -0.863 0.388158    
## party_fe9         -0.0115820  0.1027268  -0.113 0.910241    
## party_fe10         0.0091589  0.1027375   0.089 0.928971    
## party_fe11         0.2500400  0.1030405   2.427 0.015312 *  
## party_fe12         0.0946635  0.1476680   0.641 0.521546    
## party_fe13        -0.1076241  0.0967127  -1.113 0.265893    
## party_fe14        -0.1852508  0.0945496  -1.959 0.050190 .  
## party_fe15        -0.0588106  0.0840988  -0.699 0.484428    
## party_fe16        -0.1114038  0.0730567  -1.525 0.127413    
## party_fe17         0.0506600  0.0727379   0.696 0.486199    
## party_fe18         0.2604501  0.0786490   3.312 0.000941 ***
## party_fe19         0.0611419  0.0728554   0.839 0.401426    
## party_fe20         0.3400887  0.0755183   4.503 7.00e-06 ***
## party_fe21         0.2609125  0.0761240   3.427 0.000619 ***
## party_fe22         0.2919886  0.0749234   3.897 9.99e-05 ***
## party_fe23         0.3954853  0.0928085   4.261 2.11e-05 ***
## party_fe24         0.0233992  0.0846885   0.276 0.782342    
## party_fe25        -0.1594650  0.0850537  -1.875 0.060928 .  
## party_fe26        -0.1021434  0.0846643  -1.206 0.227759    
## party_fe27         0.0323476  0.2425181   0.133 0.893902    
## party_fe28         0.1860538  0.1490289   1.248 0.211988    
## party_fe29         0.1409003  0.0854063   1.650 0.099119 .  
## party_fe30         0.1330027  0.0852626   1.560 0.118908    
## party_fe31         0.0427560  0.0754638   0.567 0.571053    
## party_fe32         0.1275040  0.0755947   1.687 0.091792 .  
## party_fe33         0.2100718  0.1132850   1.854 0.063806 .  
## party_fe34         0.0805573  0.0755941   1.066 0.286684    
## party_fe35         0.0038136  0.0741786   0.051 0.959002    
## party_fe36         0.0605374  0.1758278   0.344 0.730650    
## party_fe37         0.2394326  0.0748583   3.198 0.001399 ** 
## party_fe38         0.2286825  0.0848906   2.694 0.007111 ** 
## party_fe39         0.1316660  0.1483125   0.888 0.374756    
## party_fe40         0.1335101  0.1339400   0.997 0.318964    
## party_fe41         0.1246418  0.1480996   0.842 0.400089    
## party_fe42         0.2139661  0.1072176   1.996 0.046085 *  
## party_fe43         0.5522107  0.1500331   3.681 0.000238 ***
## party_fe44         0.2277318  0.0743779   3.062 0.002224 ** 
## party_fe45         0.0986433  0.0738150   1.336 0.181556    
## party_fe46         0.1068591  0.0796374   1.342 0.179778    
## party_fe47         0.0463737  0.0842962   0.550 0.582282    
## party_fe48         0.0895462  0.0925518   0.968 0.333376    
## party_fe49         0.0949448  0.0736791   1.289 0.197649    
## party_fe50         0.1360089  0.0737728   1.844 0.065359 .  
## party_fe51         0.2594066  0.0752575   3.447 0.000577 ***
## party_fe52        -0.2736100  0.1478450  -1.851 0.064339 .  
## party_fe53         0.1528965  0.0743825   2.056 0.039931 *  
## party_fe54         0.0667948  0.1328922   0.503 0.615274    
## party_fe55         0.3313516  0.1038144   3.192 0.001432 ** 
## party_fe56         0.0093794  0.1482071   0.063 0.949544    
## party_fe57         0.1758723  0.1344568   1.308 0.190988    
## party_fe58         0.0349084  0.1348063   0.259 0.795694    
## party_fe59         0.0170971  0.1035343   0.165 0.868852    
## party_fe60         0.1050053  0.1006610   1.043 0.296978    
## party_fe61         0.0430410  0.1130842   0.381 0.703525    
## party_fe62        -0.1632715  0.0903679  -1.807 0.070924 .  
## party_fe63        -0.1530052  0.2412745  -0.634 0.526039    
## party_fe64         0.0112380  0.0766415   0.147 0.883436    
## party_fe65         0.1894663  0.0773043   2.451 0.014318 *  
## party_fe66         0.1167883  0.0768520   1.520 0.128727    
## party_fe67        -0.0593421  0.0877761  -0.676 0.499065    
## party_fe68         0.1316034  0.1353901   0.972 0.331130    
## party_fe69        -0.1414790  0.0799970  -1.769 0.077092 .  
## party_fe70        -0.0065212  0.0795835  -0.082 0.934700    
## party_fe71         0.1636292  0.2460870   0.665 0.506161    
## party_fe72         0.1039223  0.2460231   0.422 0.672763    
## party_fe73         0.2219360  0.0849937   2.611 0.009077 ** 
## party_fe74         0.2439152  0.0927666   2.629 0.008608 ** 
## party_fe75         0.1566765  0.0803549   1.950 0.051312 .  
## party_fe76         0.0679107  0.1053950   0.644 0.519412    
## party_fe77         0.4068281  0.0855589   4.755 2.10e-06 ***
## party_fe78         0.2368619  0.1777856   1.332 0.182888    
## party_fe79         0.0681622  0.0907390   0.751 0.452610    
## party_fe80         0.0860356  0.1329666   0.647 0.517662    
## party_fe81         0.0542639  0.1042536   0.520 0.602762    
## party_fe82        -0.0370667  0.1089143  -0.340 0.733638    
## party_fe83        -0.0214910  0.0879326  -0.244 0.806939    
## party_fe84        -0.0007392  0.1144468  -0.006 0.994847    
## party_fe85         0.1257127  0.0802842   1.566 0.117513    
## party_fe86         0.0006737  0.2416320   0.003 0.997776    
## party_fe87         0.4229041  0.0864111   4.894 1.05e-06 ***
## party_fe88         0.1966587  0.0888785   2.213 0.027012 *  
## party_fe89         0.4716755  0.1350625   3.492 0.000487 ***
## party_fe90        -0.0007392  0.1144468  -0.006 0.994847    
## party_fe91         0.2037146  0.0915924   2.224 0.026229 *  
## party_fe92         0.3989593  0.0926193   4.308 1.72e-05 ***
## party_fe93         0.2718787  0.0920014   2.955 0.003155 ** 
## party_fe94         0.0860356  0.1329666   0.647 0.517662    
## party_fe95         0.1231450  0.1773330   0.694 0.487479    
## party_fe96         0.2610539  0.0842439   3.099 0.001965 ** 
## party_fe97         0.4708308  0.1350542   3.486 0.000498 ***
## party_fe98         0.2896883  0.1337724   2.166 0.030443 *  
## party_fe99         0.2252689  0.2427957   0.928 0.353596    
## party_fe100        0.5634655  0.1161616   4.851 1.31e-06 ***
## party_fe101       -0.3959197  0.1340514  -2.953 0.003172 ** 
## party_fe102        0.4806150  0.0936645   5.131 3.10e-07 ***
## party_fe103        0.5514112  0.1157395   4.764 2.01e-06 ***
## party_fe104        0.2896883  0.1337724   2.166 0.030443 *  
## party_fe105        0.3817051  0.0807311   4.728 2.39e-06 ***
## party_fe106        0.2671085  0.0855238   3.123 0.001810 ** 
## party_fe107        0.1934220  0.1004891   1.925 0.054368 .  
## party_fe108       -0.0429402  0.0806090  -0.533 0.594291    
## party_fe109       -0.0129644  0.0803882  -0.161 0.871892    
## party_fe110        0.0456455  0.1530873   0.298 0.765601    
## party_fe111        0.2029388  0.1804865   1.124 0.260953    
## party_fe112       -0.0011707  0.1015868  -0.012 0.990807    
## party_fe113        0.1314453  0.0807511   1.628 0.103699    
## party_fe114        0.0915048  0.0805545   1.136 0.256094    
## party_fe115       -0.0147732  0.1777583  -0.083 0.933772    
## party_fe116        0.0810793  0.0838974   0.966 0.333934    
## party_fe117       -0.0319642  0.0984595  -0.325 0.745479    
## party_fe118       -0.0413342  0.0809983  -0.510 0.609880    
## party_fe119       -0.0612850  0.1510746  -0.406 0.685027    
## party_fe120        0.1226530  0.0816705   1.502 0.133276    
## party_fe121        0.2581457  0.1177058   2.193 0.028390 *  
## party_fe122       -0.0536922  0.0900928  -0.596 0.551253    
## party_fe123        0.3025975  0.1237942   2.444 0.014581 *  
## party_fe124       -0.0863365  0.0931954  -0.926 0.354327    
## party_fe125       -0.0775827  0.0781402  -0.993 0.320873    
## party_fe126       -0.0874696  0.0841527  -1.039 0.298713    
## party_fe127       -0.1771091  0.2428392  -0.729 0.465871    
## party_fe128       -0.0248525  0.0781393  -0.318 0.750471    
## party_fe129        0.2282569  0.1242320   1.837 0.066279 .  
## party_fe130        0.1005032  0.0784961   1.280 0.200539    
## party_fe131        0.3417346  0.1517272   2.252 0.024391 *  
## party_fe132        0.1021471  0.0784458   1.302 0.192992    
## party_fe133       -0.0054944  0.0796915  -0.069 0.945039    
## party_fe134       -0.1106627  0.0912390  -1.213 0.225289    
## party_fe135       -0.0608067  0.1492864  -0.407 0.683812    
## party_fe136       -0.0246381  0.2422954  -0.102 0.919014    
## party_fe137        0.0172919  0.0775525   0.223 0.823578    
## party_fe138        0.1486364  0.0778085   1.910 0.056212 .  
## party_fe139        0.2477626  0.0787193   3.147 0.001667 ** 
## party_fe140        0.0319279  0.0852324   0.375 0.707991    
## party_fe141        0.0597787  0.1203268   0.497 0.619372    
## party_fe142       -0.0178390  0.0851575  -0.209 0.834089    
## party_fe143        0.0825409  0.0861431   0.958 0.338064    
## party_fe144        0.5927985  0.1521247   3.897 0.000100 ***
## party_fe145        0.1211029  0.0860704   1.407 0.159547    
## party_fe146        0.0670869  0.1313326   0.511 0.609525    
## party_fe147        0.0589866  0.1078311   0.547 0.584409    
## party_fe148        0.0111851  0.0734698   0.152 0.879009    
## party_fe149        0.0884111  0.1030568   0.858 0.391038    
## party_fe150        0.0588651  0.0735311   0.801 0.423471    
## party_fe151        0.2920968  0.0754126   3.873 0.000110 ***
## party_fe152        0.1150223  0.0916944   1.254 0.209812    
## party_fe153        0.0068460  0.0795115   0.086 0.931394    
## party_fe154       -0.0972021  0.0953713  -1.019 0.308210    
## party_fe155        0.0580554  0.0991610   0.585 0.558288    
## party_fe156        0.0224904  0.0739151   0.304 0.760945    
## party_fe157        0.1865320  0.0792172   2.355 0.018616 *  
## party_fe158        0.1915567  0.0747049   2.564 0.010401 *  
## party_fe159        0.0452316  0.0743680   0.608 0.543102    
## party_fe160        0.0889063  0.2410464   0.369 0.712282    
## party_fe161        0.0697746  0.2410390   0.289 0.772243    
## party_fe162        0.1360612  0.2410878   0.564 0.572558    
## party_fe163        0.1529231  0.2411106   0.634 0.525980    
## party_fe164       -0.0046487  0.1497528  -0.031 0.975238    
## party_fe165       -0.2525692  0.1340103  -1.885 0.059588 .  
## party_fe166        0.2600519  0.1346176   1.932 0.053501 .  
## party_fe167        0.2627752  0.1502297   1.749 0.080389 .  
## party_fe168        0.2538757  0.1501865   1.690 0.091077 .  
## party_fe169        0.1169504  0.1340297   0.873 0.382982    
## party_fe170        0.0337826  0.1320226   0.256 0.798061    
## party_fe171       -0.0775464  0.1132698  -0.685 0.493650    
## party_fe172        0.0992739  0.1133715   0.876 0.381305    
## party_fe173        0.1665099  0.1153007   1.444 0.148828    
## party_fe174        0.2125302  0.1321381   1.608 0.107877    
## party_fe175        0.2245417  0.2412540   0.931 0.352086    
## party_fe176        0.3116570  0.2415751   1.290 0.197136    
## party_fe177        0.1076506  0.1497907   0.719 0.472411    
## party_fe178        0.1245839  0.1146467   1.087 0.277286    
## party_fe179       -0.1098623  0.1143872  -0.960 0.336927    
## party_fe180        0.2920353  0.1151589   2.536 0.011276 *  
## party_fe181        0.2973227  0.1149697   2.586 0.009764 ** 
## party_fe182        0.4206013  0.1772297   2.373 0.017711 *  
## party_fe183        0.1905188  0.1318311   1.445 0.148537    
## party_fe184        0.1102682  0.1130499   0.975 0.329461    
## party_fe185        0.0145065  0.1317251   0.110 0.912317    
## party_fe186        0.0759929  0.1131611   0.672 0.501935    
## party_fe187        0.3300687  0.1211088   2.725 0.006468 ** 
## party_fe188        0.3898746  0.1210280   3.221 0.001292 ** 
## party_fe189        0.1679889  0.2432363   0.691 0.489856    
## party_fe190        0.1926114  0.2432809   0.792 0.428598    
## party_fe191        0.1106644  0.2431669   0.455 0.649080    
## party_fe192        0.2170294  0.2433340   0.892 0.372534    
## party_fe193        0.2188758  0.2433383   0.899 0.368490    
## party_fe194        0.2421382  0.2433976   0.995 0.319919    
## party_fe195        0.1435741  0.2439151   0.589 0.556168    
## party_fe196        0.2606987  0.1181036   2.207 0.027380 *  
## party_fe197        0.2069252  0.1182382   1.750 0.080231 .  
## party_fe198       -0.0527087  0.1792672  -0.294 0.768765    
## party_fe199        0.1750359  0.1814725   0.965 0.334874    
## party_fe200        0.1134676  0.1812648   0.626 0.531388    
## party_fe201        0.0622911  0.2408145   0.259 0.795913    
## party_fe202        0.0882420  0.2408350   0.366 0.714098    
## party_fe203       -0.0773129  0.1129018  -0.685 0.493547    
## party_fe204        0.2869689  0.2413233   1.189 0.234496    
## party_fe205        0.2850943  0.1146652   2.486 0.012973 *  
## party_fe206       -0.0316978  0.1136913  -0.279 0.780417    
## party_fe207        0.3140611  0.1321141   2.377 0.017521 *  
## party_fe208        0.2014577  0.1136258   1.773 0.076353 .  
## party_fe209        0.0619603  0.1139113   0.544 0.586536    
## party_fe210        0.1035266  0.1140014   0.908 0.363905    
## party_fe211        0.2505408  0.1139135   2.199 0.027942 *  
## party_fe212        0.0597284  0.1761851   0.339 0.734631    
## party_fe213        0.1646680  0.1140892   1.443 0.149055    
## party_fe214        0.1129996  0.1139690   0.991 0.321542    
## party_fe215        0.2500769  0.1147875   2.179 0.029455 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2321 on 2465 degrees of freedom
## Multiple R-squared:  0.9384, Adjusted R-squared:  0.9321 
## F-statistic: 148.9 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb98"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb98-1" data-line-number="1"><span class="kw">stargazer</span>(modelli2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:01
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.linear \\ 
## \hline \\[-1.8ex] 
##  rile.y.linear\_lag &amp; 0.828$^{***}$ \\ 
##   &amp; (0.010) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.389$^{***}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.024$^{***}$ \\ 
##   &amp; (0.008) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.005$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spruled &amp; 0.004$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.044 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.058 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.072 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.037 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.172$^{***}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.162$^{***}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.114$^{**}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.022 \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.094 \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; $-$0.075 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; $-$0.051 \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.030 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.096$^{**}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.128$^{**}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.237$^{***}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.199$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.196$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.129$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.215$^{**}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.304$^{***}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.337$^{***}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.425$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.408$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.315$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.362$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.208$^{**}$ \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.281$^{***}$ \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.565$^{***}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.545$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.390$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.439$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.428$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.421$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.047 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.098 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.155$^{*}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.182$^{**}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.237$^{***}$ \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.163 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.089 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; $-$0.012 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.009 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.250$^{**}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.095 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.108 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.185$^{*}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.059 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.111 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.051 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.260$^{***}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.061 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.340$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.261$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.292$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.395$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.023 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.159$^{*}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.102 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.032 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.186 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.141$^{*}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.133 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.043 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.128$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.210$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.081 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.004 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.061 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.239$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.229$^{***}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.132 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.134 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.125 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.552$^{***}$ \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.228$^{***}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.099 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.107 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.046 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.090 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.095 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.136$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.259$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.274$^{*}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.153$^{**}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.067 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.009 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.176 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.035 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.017 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.105 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.043 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.163$^{*}$ \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.153 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.011 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.189$^{**}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.117 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.059 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.132 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.141$^{*}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.007 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.164 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.104 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.222$^{***}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.244$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.157$^{*}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.068 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.407$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.237 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.068 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.086 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.054 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.037 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.021 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; $-$0.001 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.126 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.001 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.197$^{**}$ \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.472$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.001 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.204$^{**}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.399$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.272$^{***}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.086 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.123 \\ 
##   &amp; (0.177) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.261$^{***}$ \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.471$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.290$^{**}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.225 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.563$^{***}$ \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.396$^{***}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.481$^{***}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.551$^{***}$ \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.290$^{**}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.382$^{***}$ \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.267$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.193$^{*}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.043 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.013 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.046 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.203 \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.001 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.131 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.092 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.015 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.081 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.032 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.041 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.061 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.123 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; $-$0.054 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.086 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.078 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.087 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.177 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.025 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.228$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.101 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.342$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.102 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.005 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.111 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.061 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.025 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.017 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.149$^{*}$ \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.248$^{***}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.032 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.060 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.018 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.083 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.593$^{***}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.121 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.067 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.059 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.011 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.088 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.059 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.292$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.115 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.007 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.097 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.058 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.022 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.187$^{**}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.192$^{**}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.045 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.089 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.070 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.136 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.153 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.005 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.253$^{*}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.260$^{*}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.263$^{*}$ \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.254$^{*}$ \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.117 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.034 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.078 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.099 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.167 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.213 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.225 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.312 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.108 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.125 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.110 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.292$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.297$^{***}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.421$^{**}$ \\ 
##   &amp; (0.177) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.191 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.110 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.015 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.076 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.330$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.390$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.168 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.193 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.111 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.217 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.219 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.242 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.144 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.207$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.053 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.175 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.113 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.062 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.088 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.077 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.287 \\ 
##   &amp; (0.241) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.285$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.032 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.314$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.201$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.062 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.104 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.251$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.060 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.165 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.113 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.250$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.361$^{**}$ \\ 
##   &amp; (0.599) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.938 \\ 
## Adjusted R$^{2}$ &amp; 0.932 \\ 
## Residual Std. Error &amp; 0.232 (df = 2465) \\ 
## F Statistic &amp; 148.898$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb100"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb100-1" data-line-number="1"><span class="co"># Model LI3 in Table S7</span></a>
<a class="sourceLine" id="cb100-2" data-line-number="2"></a>
<a class="sourceLine" id="cb100-3" data-line-number="3">modelli3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.linear ~ spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb100-4" data-line-number="4"></a>
<a class="sourceLine" id="cb100-5" data-line-number="5">modelli3 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelli3, <span class="dt">data =</span> dataframe_interpol)</a>
<a class="sourceLine" id="cb100-6" data-line-number="6"><span class="kw">summary</span>(modelli3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelli3, data = dataframe_interpol)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.46186 -0.26040 -0.00379  0.21959  1.95989 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)        4.5043077  0.1354125  33.264  &lt; 2e-16 ***
## spsamegroup_ruled  0.0041538  0.0009237   4.497 7.21e-06 ***
## year_fe2           0.0367381  0.0928592   0.396 0.692410    
## year_fe3           0.0656557  0.0920415   0.713 0.475710    
## year_fe4           0.1116579  0.0920890   1.212 0.225437    
## year_fe5           0.1668413  0.0918948   1.816 0.069558 .  
## year_fe6           0.2487925  0.0907166   2.743 0.006141 ** 
## year_fe7           0.2711340  0.0907045   2.989 0.002825 ** 
## year_fe8           0.3042138  0.0896843   3.392 0.000705 ***
## year_fe9           0.3045372  0.0894049   3.406 0.000669 ***
## year_fe10          0.3941366  0.0860074   4.583 4.82e-06 ***
## year_fe11          0.3450388  0.0863514   3.996 6.64e-05 ***
## year_fe12          0.3134251  0.0860368   3.643 0.000275 ***
## year_fe13          0.2974768  0.0868997   3.423 0.000629 ***
## year_fe14          0.3096855  0.0859670   3.602 0.000322 ***
## year_fe15          0.2254450  0.0857224   2.630 0.008593 ** 
## year_fe16          0.2007351  0.0860653   2.332 0.019762 *  
## year_fe17          0.1869710  0.0857891   2.179 0.029394 *  
## year_fe18          0.1465797  0.0863885   1.697 0.089870 .  
## year_fe19          0.1216704  0.0876539   1.388 0.165239    
## year_fe20          0.3516659  0.0841733   4.178 3.04e-05 ***
## year_fe21          0.3524704  0.0837184   4.210 2.64e-05 ***
## year_fe22          0.2869106  0.0844207   3.399 0.000688 ***
## year_fe23          0.1606730  0.0875221   1.836 0.066508 .  
## year_fe24          0.1210448  0.0877077   1.380 0.167683    
## year_fe25          0.1326895  0.0882990   1.503 0.133037    
## year_fe26          0.1247702  0.0874130   1.427 0.153602    
## year_fe27          0.1699874  0.0853053   1.993 0.046405 *  
## year_fe28          0.1311343  0.0846278   1.550 0.121380    
## year_fe29          0.1309166  0.0826390   1.584 0.113277    
## year_fe30          0.0473337  0.0824289   0.574 0.565860    
## year_fe31          0.0420687  0.0826552   0.509 0.610822    
## year_fe32         -0.0125416  0.0833010  -0.151 0.880337    
## year_fe33         -0.0460227  0.0853654  -0.539 0.589848    
## year_fe34         -0.0444925  0.0850055  -0.523 0.600738    
## party_fe2         -0.5084905  0.1635345  -3.109 0.001896 ** 
## party_fe3          0.0906127  0.1650760   0.549 0.583113    
## party_fe4          1.1526330  0.1638296   7.036 2.56e-12 ***
## party_fe5          1.0304364  0.1641073   6.279 4.01e-10 ***
## party_fe6          1.8088429  0.1641073  11.022  &lt; 2e-16 ***
## party_fe7         -0.7114598  0.1968676  -3.614 0.000308 ***
## party_fe8         -0.4421125  0.1968676  -2.246 0.024809 *  
## party_fe9          0.1661607  0.1968676   0.844 0.398738    
## party_fe10         0.2799089  0.1968676   1.422 0.155207    
## party_fe11         1.0442770  0.1968676   5.304 1.23e-07 ***
## party_fe12         0.4675445  0.2843321   1.644 0.100229    
## party_fe13        -0.3803924  0.1850746  -2.055 0.039951 *  
## party_fe14        -0.9265712  0.1799286  -5.150 2.82e-07 ***
## party_fe15        -0.4171415  0.1611054  -2.589 0.009675 ** 
## party_fe16        -0.7084332  0.1393329  -5.084 3.96e-07 ***
## party_fe17         0.0363561  0.1414008   0.257 0.797112    
## party_fe18         1.5668032  0.1473197  10.635  &lt; 2e-16 ***
## party_fe19         0.3615958  0.1394461   2.593 0.009568 ** 
## party_fe20         1.8924916  0.1399143  13.526  &lt; 2e-16 ***
## party_fe21         1.5810855  0.1422978  11.111  &lt; 2e-16 ***
## party_fe22         1.6459772  0.1401660  11.743  &lt; 2e-16 ***
## party_fe23         1.9916532  0.1737464  11.463  &lt; 2e-16 ***
## party_fe24        -0.1337808  0.1609387  -0.831 0.405911    
## party_fe25        -0.7899409  0.1610286  -4.906 9.92e-07 ***
## party_fe26        -0.2633276  0.1634748  -1.611 0.107348    
## party_fe27         0.5791125  0.4654440   1.244 0.213538    
## party_fe28         1.3445886  0.2842553   4.730 2.37e-06 ***
## party_fe29         0.9987008  0.1611837   6.196 6.76e-10 ***
## party_fe30         0.8527925  0.1620814   5.262 1.55e-07 ***
## party_fe31         0.1931173  0.1427942   1.352 0.176366    
## party_fe32         0.4402453  0.1427942   3.083 0.002071 ** 
## party_fe33         0.5594890  0.2168715   2.580 0.009943 ** 
## party_fe34        -0.0126177  0.1448134  -0.087 0.930575    
## party_fe35        -0.1276871  0.1424312  -0.896 0.370083    
## party_fe36         0.2177395  0.3384142   0.643 0.520017    
## party_fe37         1.1536639  0.1402009   8.229 3.03e-16 ***
## party_fe38         1.1999776  0.1582597   7.582 4.77e-14 ***
## party_fe39         0.4796290  0.2842553   1.687 0.091669 .  
## party_fe40         1.1491747  0.2550720   4.505 6.94e-06 ***
## party_fe41         0.5182900  0.2846215   1.821 0.068731 .  
## party_fe42         0.1185745  0.2054984   0.577 0.563986    
## party_fe43         2.6654638  0.2843321   9.374  &lt; 2e-16 ***
## party_fe44         0.9264765  0.1399341   6.621 4.37e-11 ***
## party_fe45         0.4072293  0.1402977   2.903 0.003734 ** 
## party_fe46         0.3645033  0.1515274   2.406 0.016222 *  
## party_fe47         0.1818516  0.1611054   1.129 0.259103    
## party_fe48        -0.1442595  0.1755265  -0.822 0.411232    
## party_fe49         0.0721098  0.1415227   0.510 0.610428    
## party_fe50         0.3522650  0.1398672   2.519 0.011846 *  
## party_fe51         1.3990680  0.1395740  10.024  &lt; 2e-16 ***
## party_fe52         0.2323129  0.2841903   0.817 0.413747    
## party_fe53         0.6004783  0.1408522   4.263 2.09e-05 ***
## party_fe54         0.3301793  0.2550720   1.294 0.195629    
## party_fe55         1.7472912  0.1964816   8.893  &lt; 2e-16 ***
## party_fe56         0.9972678  0.2841903   3.509 0.000458 ***
## party_fe57         2.4659325  0.2528966   9.751  &lt; 2e-16 ***
## party_fe58        -0.0225169  0.2538731  -0.089 0.929333    
## party_fe59        -0.4451912  0.1904955  -2.337 0.019518 *  
## party_fe60         0.2118132  0.1891998   1.120 0.263027    
## party_fe61        -0.1230362  0.2169462  -0.567 0.570679    
## party_fe62        -1.3805362  0.1604156  -8.606  &lt; 2e-16 ***
## party_fe63        -0.8732677  0.4644516  -1.880 0.060197 .  
## party_fe64        -0.3777877  0.1413526  -2.673 0.007575 ** 
## party_fe65         0.7129119  0.1401390   5.087 3.91e-07 ***
## party_fe66         0.2804881  0.1403068   1.999 0.045706 *  
## party_fe67        -0.2324590  0.1586550  -1.465 0.142998    
## party_fe68         0.8203628  0.2531028   3.241 0.001206 ** 
## party_fe69        -0.6347505  0.1393069  -4.556 5.45e-06 ***
## party_fe70        -0.1978596  0.1416445  -1.397 0.162577    
## party_fe71         0.8156923  0.4676832   1.744 0.081264 .  
## party_fe72         0.4691923  0.4676832   1.003 0.315850    
## party_fe73         1.4576572  0.1472656   9.898  &lt; 2e-16 ***
## party_fe74         1.4302227  0.1627839   8.786  &lt; 2e-16 ***
## party_fe75         1.0443517  0.1410854   7.402 1.83e-13 ***
## party_fe76         0.4729740  0.1964816   2.407 0.016148 *  
## party_fe77         2.4482555  0.1476682  16.579  &lt; 2e-16 ***
## party_fe78         1.7249499  0.3385445   5.095 3.75e-07 ***
## party_fe79         0.5079964  0.1671200   3.040 0.002393 ** 
## party_fe80         0.5152079  0.2528412   2.038 0.041689 *  
## party_fe81         0.1610034  0.1850746   0.870 0.384419    
## party_fe82        -0.2660526  0.1979053  -1.344 0.178961    
## party_fe83        -0.3531282  0.1637329  -2.157 0.031123 *  
## party_fe84         0.3864668  0.2167992   1.783 0.074774 .  
## party_fe85         0.5881758  0.1431633   4.108 4.11e-05 ***
## party_fe86         0.1566736  0.4641771   0.338 0.735746    
## party_fe87         2.2539330  0.1484906  15.179  &lt; 2e-16 ***
## party_fe88         0.7334504  0.1566928   4.681 3.01e-06 ***
## party_fe89         2.3536528  0.2529645   9.304  &lt; 2e-16 ***
## party_fe90         0.3948190  0.2168494   1.821 0.068773 .  
## party_fe91         0.8755263  0.1604156   5.458 5.30e-08 ***
## party_fe92         1.7064958  0.1604156  10.638  &lt; 2e-16 ***
## party_fe93         1.2485853  0.1604156   7.783 1.03e-14 ***
## party_fe94         0.5152079  0.2528412   2.038 0.041689 *  
## party_fe95         1.0650141  0.3385445   3.146 0.001676 ** 
## party_fe96         1.1183948  0.1497940   7.466 1.14e-13 ***
## party_fe97         2.2300660  0.2533789   8.801  &lt; 2e-16 ***
## party_fe98         1.6970699  0.2528412   6.712 2.37e-11 ***
## party_fe99         1.3639932  0.4656863   2.929 0.003432 ** 
## party_fe100        2.0710451  0.2171063   9.539  &lt; 2e-16 ***
## party_fe101        1.1653108  0.2528966   4.608 4.28e-06 ***
## party_fe102        2.4666605  0.1704114  14.475  &lt; 2e-16 ***
## party_fe103        2.1712270  0.2168494  10.013  &lt; 2e-16 ***
## party_fe104        1.6970699  0.2528412   6.712 2.37e-11 ***
## party_fe105        1.7849688  0.1414893  12.616  &lt; 2e-16 ***
## party_fe106        1.6651818  0.1566312  10.631  &lt; 2e-16 ***
## party_fe107        0.7388583  0.1891981   3.905 9.67e-05 ***
## party_fe108       -0.3741891  0.1465267  -2.554 0.010717 *  
## party_fe109       -0.0919910  0.1486682  -0.619 0.536127    
## party_fe110        0.7159248  0.2855213   2.507 0.012225 *  
## party_fe111        0.7375597  0.3396893   2.171 0.030005 *  
## party_fe112       -0.0640896  0.1857597  -0.345 0.730113    
## party_fe113        0.8068441  0.1482237   5.443 5.74e-08 ***
## party_fe114        0.6144584  0.1471136   4.177 3.06e-05 ***
## party_fe115       -0.0215579  0.3382355  -0.064 0.949185    
## party_fe116        0.4423287  0.1518822   2.912 0.003620 ** 
## party_fe117        0.1560621  0.1783194   0.875 0.381560    
## party_fe118       -0.2274014  0.1464934  -1.552 0.120719    
## party_fe119       -0.0501476  0.2842928  -0.176 0.859999    
## party_fe120        1.3173498  0.1451566   9.075  &lt; 2e-16 ***
## party_fe121        1.2427945  0.2171967   5.722 1.18e-08 ***
## party_fe122        0.7740960  0.1701859   4.549 5.66e-06 ***
## party_fe123        1.0360183  0.2332461   4.442 9.32e-06 ***
## party_fe124       -0.2874964  0.1780890  -1.614 0.106581    
## party_fe125        0.1253368  0.1465159   0.855 0.392386    
## party_fe126       -0.1827975  0.1588957  -1.150 0.250080    
## party_fe127       -0.7660914  0.4658928  -1.644 0.100231    
## party_fe128        0.1165763  0.1487386   0.784 0.433252    
## party_fe129        1.4673111  0.2332461   6.291 3.72e-10 ***
## party_fe130        0.8389199  0.1480772   5.665 1.64e-08 ***
## party_fe131        2.1419548  0.2854717   7.503 8.64e-14 ***
## party_fe132        0.9083096  0.1465462   6.198 6.68e-10 ***
## party_fe133       -0.0702396  0.1445239  -0.486 0.627006    
## party_fe134       -0.5902340  0.1668546  -3.537 0.000412 ***
## party_fe135       -0.4805346  0.2841386  -1.691 0.090925 .  
## party_fe136       -0.0618560  0.4644516  -0.133 0.894061    
## party_fe137        0.1244223  0.1413934   0.880 0.378960    
## party_fe138        0.8933902  0.1398550   6.388 2.00e-10 ***
## party_fe139        1.5525054  0.1401992  11.074  &lt; 2e-16 ***
## party_fe140        0.5432124  0.1634589   3.323 0.000903 ***
## party_fe141       -0.0948724  0.2319288  -0.409 0.682532    
## party_fe142        0.2570739  0.1662157   1.547 0.122081    
## party_fe143        1.2747752  0.1636564   7.789 9.84e-15 ***
## party_fe144        3.5771078  0.2842553  12.584  &lt; 2e-16 ***
## party_fe145        1.1557851  0.1645265   7.025 2.76e-12 ***
## party_fe146        0.6771385  0.2528966   2.678 0.007466 ** 
## party_fe147        0.4743271  0.2056450   2.307 0.021163 *  
## party_fe148       -0.0371419  0.1414696  -0.263 0.792924    
## party_fe149        0.4064474  0.1979053   2.054 0.040105 *  
## party_fe150        0.5021700  0.1393051   3.605 0.000319 ***
## party_fe151        1.7640715  0.1403031  12.573  &lt; 2e-16 ***
## party_fe152        0.8568691  0.1739242   4.927 8.92e-07 ***
## party_fe153       -0.0308015  0.1515559  -0.203 0.838968    
## party_fe154       -0.8608467  0.1795369  -4.795 1.73e-06 ***
## party_fe155       -0.0531778  0.1895228  -0.281 0.779050    
## party_fe156       -0.1688609  0.1416059  -1.192 0.233191    
## party_fe157        0.9522320  0.1491118   6.386 2.03e-10 ***
## party_fe158        0.8104739  0.1399285   5.792 7.84e-09 ***
## party_fe159        0.5057442  0.1393179   3.630 0.000289 ***
## party_fe160        0.1916199  0.4641759   0.413 0.679776    
## party_fe161        0.0805934  0.4641759   0.174 0.862173    
## party_fe162        0.4652744  0.4641759   1.002 0.316265    
## party_fe163        0.5631304  0.4641759   1.213 0.225176    
## party_fe164       -0.0565440  0.2841386  -0.199 0.842278    
## party_fe165       -0.0828681  0.2527475  -0.328 0.743039    
## party_fe166        1.5327532  0.2527475   6.064 1.53e-09 ***
## party_fe167        1.4954024  0.2841386   5.263 1.54e-07 ***
## party_fe168        1.4437562  0.2841386   5.081 4.03e-07 ***
## party_fe169        0.5585339  0.2527475   2.210 0.027207 *  
## party_fe170        0.6769426  0.2528966   2.677 0.007483 ** 
## party_fe171       -0.0803682  0.2169462  -0.370 0.711077    
## party_fe172        0.3915558  0.2170367   1.804 0.071338 .  
## party_fe173        1.8685478  0.2168999   8.615  &lt; 2e-16 ***
## party_fe174        0.9407292  0.2527982   3.721 0.000203 ***
## party_fe175        1.2377038  0.4641759   2.666 0.007716 ** 
## party_fe176        1.7432618  0.4641759   3.756 0.000177 ***
## party_fe177        0.3754991  0.2843321   1.321 0.186745    
## party_fe178        0.6035931  0.2170713   2.781 0.005467 ** 
## party_fe179        0.1139683  0.2169462   0.525 0.599401    
## party_fe180        1.1998014  0.2168759   5.532 3.50e-08 ***
## party_fe181        1.1241286  0.2169462   5.182 2.38e-07 ***
## party_fe182        2.0076309  0.3382355   5.936 3.34e-09 ***
## party_fe183        0.5463524  0.2528966   2.160 0.030839 *  
## party_fe184        0.5687301  0.2170018   2.621 0.008825 ** 
## party_fe185        0.0665750  0.2528966   0.263 0.792380    
## party_fe186        0.7271447  0.2169462   3.352 0.000815 ***
## party_fe187        1.3150467  0.2319327   5.670 1.59e-08 ***
## party_fe188        1.3116191  0.2319327   5.655 1.74e-08 ***
## party_fe189        0.7944632  0.4641759   1.712 0.087104 .  
## party_fe190        0.9373564  0.4641759   2.019 0.043554 *  
## party_fe191        0.4617906  0.4641759   0.995 0.319901    
## party_fe192        1.0790614  0.4641759   2.325 0.020170 *  
## party_fe193        1.0897757  0.4641759   2.348 0.018965 *  
## party_fe194        1.2247757  0.4641759   2.639 0.008377 ** 
## party_fe195        0.9218879  0.4641519   1.986 0.047124 *  
## party_fe196        1.1497881  0.2168483   5.302 1.25e-07 ***
## party_fe197        1.2851470  0.2169172   5.925 3.57e-09 ***
## party_fe198        1.2815671  0.3382355   3.789 0.000155 ***
## party_fe199        1.4715829  0.3391019   4.340 1.48e-05 ***
## party_fe200        1.2636999  0.3385445   3.733 0.000194 ***
## party_fe201        0.3927478  0.4641759   0.846 0.397569    
## party_fe202        0.5433471  0.4641759   1.171 0.241887    
## party_fe203        0.2581824  0.2170402   1.190 0.234334    
## party_fe204        1.6966242  0.4641759   3.655 0.000262 ***
## party_fe205        1.9708799  0.2168381   9.089  &lt; 2e-16 ***
## party_fe206        1.1359615  0.2168381   5.239 1.75e-07 ***
## party_fe207        1.4161341  0.2528966   5.600 2.39e-08 ***
## party_fe208        1.3562089  0.2169462   6.251 4.78e-10 ***
## party_fe209        0.5907236  0.2169462   2.723 0.006517 ** 
## party_fe210        0.7863386  0.2169462   3.625 0.000295 ***
## party_fe211        0.7269171  0.2169156   3.351 0.000817 ***
## party_fe212        0.4811499  0.3385445   1.421 0.155376    
## party_fe213        0.9619736  0.2169462   4.434 9.65e-06 ***
## party_fe214        0.7464236  0.2169462   3.441 0.000590 ***
## party_fe215        1.6164986  0.2169462   7.451 1.27e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.4477 on 2469 degrees of freedom
## Multiple R-squared:  0.7703, Adjusted R-squared:  0.7472 
## F-statistic: 33.39 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb102"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb102-1" data-line-number="1"><span class="kw">stargazer</span>(modelli3)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:01
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.linear \\ 
## \hline \\[-1.8ex] 
##  spsamegroup\_ruled &amp; 0.004$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.037 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.066 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.112 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.167$^{*}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.249$^{***}$ \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.271$^{***}$ \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.304$^{***}$ \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.305$^{***}$ \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.394$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.345$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.313$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.297$^{***}$ \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.225$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.201$^{**}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.187$^{**}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.147$^{*}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.122 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.287$^{***}$ \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.161$^{*}$ \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.121 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.133 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.125 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.170$^{**}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.131 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.131 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.047 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.042 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.013 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.046 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.044 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.508$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.091 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.153$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 1.030$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 1.809$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.711$^{***}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.442$^{**}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.166 \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.280 \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.044$^{***}$ \\ 
##   &amp; (0.197) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.468 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.380$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.927$^{***}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.417$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.708$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.036 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.567$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.362$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 1.892$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.581$^{***}$ \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.646$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 1.992$^{***}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.134 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.790$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.263 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.579 \\ 
##   &amp; (0.465) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.345$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.999$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.853$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.193 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.440$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.559$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; $-$0.013 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.128 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.218 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.154$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.200$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.480$^{*}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.149$^{***}$ \\ 
##   &amp; (0.255) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.518$^{*}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.119 \\ 
##   &amp; (0.205) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.665$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.926$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.407$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.365$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.182 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.144 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.072 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.352$^{**}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.399$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.232 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.600$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.330 \\ 
##   &amp; (0.255) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.747$^{***}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.997$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.466$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; $-$0.023 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.445$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.212 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; $-$0.123 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.381$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.873$^{*}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.378$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.713$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.280$^{**}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.232 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.820$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.635$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.198 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.816$^{*}$ \\ 
##   &amp; (0.468) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.469 \\ 
##   &amp; (0.468) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.458$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.430$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.044$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.448$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.725$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.508$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.515$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.161 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.266 \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.353$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.386$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.588$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.157 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.254$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.733$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.354$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.395$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.876$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.706$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.249$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.515$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 1.065$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.118$^{***}$ \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.230$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.697$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.364$^{***}$ \\ 
##   &amp; (0.466) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.071$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 1.165$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.467$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.171$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.697$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.785$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.665$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.739$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.374$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.092 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.716$^{**}$ \\ 
##   &amp; (0.286) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.738$^{**}$ \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.064 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.807$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.614$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.022 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.156 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.227 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.050 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.317$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.243$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.774$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.036$^{***}$ \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.287 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.125 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.183 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.766 \\ 
##   &amp; (0.466) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.117 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.467$^{***}$ \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.839$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.142$^{***}$ \\ 
##   &amp; (0.285) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.908$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.070 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.590$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.481$^{*}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.062 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.124 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.893$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.553$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.543$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.095 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.257 \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.275$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.577$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.156$^{***}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.677$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.474$^{**}$ \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.037 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.502$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.764$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.857$^{***}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.031 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.861$^{***}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; $-$0.053 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.169 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.952$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.810$^{***}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.506$^{***}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.192 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.081 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.465 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.563 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.057 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.083 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.533$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.495$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.444$^{***}$ \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.559$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.677$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.080 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.392$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 1.869$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.941$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.238$^{***}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.743$^{***}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.375 \\ 
##   &amp; (0.284) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.604$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.114 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.200$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.124$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 2.008$^{***}$ \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.546$^{**}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.569$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.067 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.727$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.315$^{***}$ \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.312$^{***}$ \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.794$^{*}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.937$^{**}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.462 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.079$^{**}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.090$^{**}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.225$^{***}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.922$^{**}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.150$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.285$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.282$^{***}$ \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.472$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.264$^{***}$ \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.393 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.543 \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.258 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.697$^{***}$ \\ 
##   &amp; (0.464) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 1.971$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 1.136$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.416$^{***}$ \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.356$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.591$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.786$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.727$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.481 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.962$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.746$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.616$^{***}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  Constant &amp; 4.504$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.770 \\ 
## Adjusted R$^{2}$ &amp; 0.747 \\ 
## Residual Std. Error &amp; 0.448 (df = 2469) \\ 
## F Statistic &amp; 33.386$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb104"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb104-1" data-line-number="1"><span class="co"># Model LI4 in Table S7</span></a>
<a class="sourceLine" id="cb104-2" data-line-number="2"></a>
<a class="sourceLine" id="cb104-3" data-line-number="3">modelli4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.linear ~ rile.y.linear_lag + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb104-4" data-line-number="4"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb104-5" data-line-number="5"></a>
<a class="sourceLine" id="cb104-6" data-line-number="6">modelli4 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelli4, <span class="dt">data =</span> dataframe_interpol)</a>
<a class="sourceLine" id="cb104-7" data-line-number="7"><span class="kw">summary</span>(modelli4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelli4, data = dataframe_interpol)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.15050 -0.08517 -0.00045  0.08771  1.32257 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -0.7990327  0.5883833  -1.358 0.174584    
## rile.y.linear_lag  0.8285842  0.0103636  79.952  &lt; 2e-16 ***
## lag_cmedian        0.3252052  0.1136330   2.862 0.004247 ** 
## lag_econ_glob      0.0188837  0.0080829   2.336 0.019558 *  
## interaction       -0.0039888  0.0015183  -2.627 0.008664 ** 
## spsamegroup_ruled  0.0009665  0.0004846   1.994 0.046231 *  
## year_fe2           0.0585206  0.0483919   1.209 0.226661    
## year_fe3           0.0443801  0.0479528   0.925 0.354799    
## year_fe4           0.0880653  0.0482529   1.825 0.068110 .  
## year_fe5           0.0708628  0.0483192   1.467 0.142625    
## year_fe6           0.1213368  0.0483466   2.510 0.012146 *  
## year_fe7           0.0905141  0.0485238   1.865 0.062250 .  
## year_fe8           0.1070038  0.0479076   2.234 0.025603 *  
## year_fe9           0.0837319  0.0483724   1.731 0.083579 .  
## year_fe10          0.0904210  0.0468694   1.929 0.053819 .  
## year_fe11          0.0522493  0.0466782   1.119 0.263100    
## year_fe12          0.0475488  0.0464495   1.024 0.306094    
## year_fe13          0.0735528  0.0470145   1.564 0.117836    
## year_fe14          0.1023729  0.0480742   2.129 0.033314 *  
## year_fe15          0.0426328  0.0488184   0.873 0.382588    
## year_fe16          0.0504792  0.0498542   1.013 0.311381    
## year_fe17          0.0624474  0.0500016   1.249 0.211817    
## year_fe18          0.0601282  0.0515178   1.167 0.243269    
## year_fe19          0.0634946  0.0526129   1.207 0.227615    
## year_fe20          0.1683493  0.0516374   3.260 0.001128 ** 
## year_fe21          0.1042229  0.0531119   1.962 0.049837 *  
## year_fe22          0.0533273  0.0556237   0.959 0.337796    
## year_fe23          0.0195834  0.0588491   0.333 0.739333    
## year_fe24          0.0408210  0.0594145   0.687 0.492112    
## year_fe25          0.0796478  0.0626503   1.271 0.203740    
## year_fe26          0.0651138  0.0612859   1.062 0.288131    
## year_fe27          0.0861198  0.0589536   1.461 0.144196    
## year_fe28          0.0375033  0.0589343   0.636 0.524602    
## year_fe29          0.0506068  0.0590876   0.856 0.391821    
## year_fe30          0.0030363  0.0569408   0.053 0.957479    
## year_fe31          0.0363115  0.0583654   0.622 0.533907    
## year_fe32          0.0284201  0.0595567   0.477 0.633266    
## year_fe33          0.0546033  0.0583570   0.936 0.349531    
## year_fe34          0.0489531  0.0575750   0.850 0.395269    
## party_fe2         -0.0411031  0.0853216  -0.482 0.630031    
## party_fe3         -0.1229248  0.0859734  -1.430 0.152901    
## party_fe4          0.1419362  0.0862103   1.646 0.099810 .  
## party_fe5          0.1654061  0.0861072   1.921 0.054855 .  
## party_fe6          0.2195155  0.0877097   2.503 0.012388 *  
## party_fe7         -0.1461350  0.1034492  -1.413 0.157892    
## party_fe8         -0.0717774  0.1032784  -0.695 0.487127    
## party_fe9          0.0048917  0.1031047   0.047 0.962163    
## party_fe10         0.0255316  0.1031184   0.248 0.804468    
## party_fe11         0.2658438  0.1034402   2.570 0.010227 *  
## party_fe12         0.0786001  0.1482371   0.530 0.595999    
## party_fe13        -0.1519620  0.0969279  -1.568 0.117060    
## party_fe14        -0.2337047  0.0947135  -2.467 0.013674 *  
## party_fe15        -0.0743176  0.0843763  -0.881 0.378518    
## party_fe16        -0.1449368  0.0731138  -1.982 0.047551 *  
## party_fe17        -0.0060812  0.0738060  -0.082 0.934340    
## party_fe18         0.2191094  0.0785544   2.789 0.005323 ** 
## party_fe19         0.0229667  0.0728910   0.315 0.752726    
## party_fe20         0.2934326  0.0756190   3.880 0.000107 ***
## party_fe21         0.2269101  0.0760684   2.983 0.002883 ** 
## party_fe22         0.2429523  0.0751487   3.233 0.001241 ** 
## party_fe23         0.3840934  0.0932657   4.118 3.94e-05 ***
## party_fe24         0.0194202  0.0850224   0.228 0.819344    
## party_fe25        -0.1593099  0.0854263  -1.865 0.062317 .  
## party_fe26        -0.1389961  0.0862682  -1.611 0.107262    
## party_fe27         0.0670881  0.2433994   0.276 0.782856    
## party_fe28         0.2004514  0.1496304   1.340 0.180485    
## party_fe29         0.1235098  0.0857943   1.440 0.150107    
## party_fe30         0.1050945  0.0860520   1.221 0.222093    
## party_fe31         0.0111596  0.0755376   0.148 0.882564    
## party_fe32         0.0957311  0.0756584   1.265 0.205881    
## party_fe33         0.1765501  0.1134752   1.556 0.119873    
## party_fe34         0.0370416  0.0768235   0.482 0.629732    
## party_fe35        -0.0464533  0.0754230  -0.616 0.538015    
## party_fe36         0.0354589  0.1764338   0.201 0.840734    
## party_fe37         0.1977662  0.0754278   2.622 0.008797 ** 
## party_fe38         0.2090658  0.0852706   2.452 0.014284 *  
## party_fe39         0.0859160  0.1485754   0.578 0.563138    
## party_fe40         0.1338341  0.1345538   0.995 0.320004    
## party_fe41         0.1012999  0.1486586   0.681 0.495666    
## party_fe42         0.1913429  0.1075180   1.780 0.075259 .  
## party_fe43         0.5465637  0.1507064   3.627 0.000293 ***
## party_fe44         0.1890020  0.0748413   2.525 0.011620 *  
## party_fe45         0.0567559  0.0745321   0.761 0.446434    
## party_fe46         0.1036773  0.0799533   1.297 0.194848    
## party_fe47         0.0545072  0.0847000   0.644 0.519938    
## party_fe48         0.0691915  0.0930680   0.743 0.457280    
## party_fe49         0.0622022  0.0752443   0.827 0.408504    
## party_fe50         0.1160719  0.0743965   1.560 0.118846    
## party_fe51         0.2425322  0.0756505   3.206 0.001363 ** 
## party_fe52        -0.2364309  0.1483179  -1.594 0.111046    
## party_fe53         0.1296253  0.0751815   1.724 0.084803 .  
## party_fe54         0.0267805  0.1333963   0.201 0.840903    
## party_fe55         0.3520052  0.1042839   3.375 0.000748 ***
## party_fe56         0.0460347  0.1487051   0.310 0.756914    
## party_fe57         0.1858861  0.1351089   1.376 0.169001    
## party_fe58         0.0291845  0.1353920   0.216 0.829352    
## party_fe59         0.0012438  0.1040744   0.012 0.990466    
## party_fe60         0.1128897  0.1010477   1.117 0.264021    
## party_fe61         0.0343120  0.1135224   0.302 0.762488    
## party_fe62        -0.1888269  0.0909753  -2.076 0.038036 *  
## party_fe63        -0.1534845  0.2422440  -0.634 0.526404    
## party_fe64        -0.0251487  0.0782893  -0.321 0.748065    
## party_fe65         0.1612412  0.0781131   2.064 0.039103 *  
## party_fe66         0.0874078  0.0778069   1.123 0.261380    
## party_fe67        -0.0555507  0.0881805  -0.630 0.528775    
## party_fe68         0.1587560  0.1362944   1.165 0.244212    
## party_fe69        -0.1400594  0.0803374  -1.743 0.081390 .  
## party_fe70        -0.0316405  0.0805891  -0.393 0.694637    
## party_fe71         0.1543221  0.2470574   0.625 0.532265    
## party_fe72         0.0949269  0.2469960   0.384 0.700770    
## party_fe73         0.2252868  0.0853810   2.639 0.008377 ** 
## party_fe74         0.2332732  0.0931018   2.506 0.012289 *  
## party_fe75         0.1453264  0.0806984   1.801 0.071847 .  
## party_fe76         0.0605086  0.1059130   0.571 0.567845    
## party_fe77         0.4160287  0.0861576   4.829 1.46e-06 ***
## party_fe78         0.2513865  0.1786924   1.407 0.159609    
## party_fe79         0.0363911  0.0908091   0.401 0.688644    
## party_fe80         0.0783667  0.1335719   0.587 0.557458    
## party_fe81         0.0432231  0.1046444   0.413 0.679608    
## party_fe82        -0.0290739  0.1093291  -0.266 0.790315    
## party_fe83        -0.0457278  0.0881116  -0.519 0.603824    
## party_fe84         0.0019332  0.1149851   0.017 0.986587    
## party_fe85         0.1058708  0.0804762   1.316 0.188446    
## party_fe86         0.0248946  0.2425971   0.103 0.918275    
## party_fe87         0.3975690  0.0865613   4.593 4.59e-06 ***
## party_fe88         0.1738676  0.0891872   1.949 0.051353 .  
## party_fe89         0.4130493  0.1349506   3.061 0.002232 ** 
## party_fe90         0.0038766  0.1150290   0.034 0.973118    
## party_fe91         0.1873226  0.0918827   2.039 0.041585 *  
## party_fe92         0.3818765  0.0929040   4.110 4.08e-05 ***
## party_fe93         0.2551554  0.0922883   2.765 0.005739 ** 
## party_fe94         0.0783667  0.1335719   0.587 0.557458    
## party_fe95         0.1382631  0.1782140   0.776 0.437926    
## party_fe96         0.2191980  0.0846074   2.591 0.009633 ** 
## party_fe97         0.3845934  0.1348092   2.853 0.004369 ** 
## party_fe98         0.2809565  0.1344082   2.090 0.036691 *  
## party_fe99         0.2091510  0.2437351   0.858 0.390916    
## party_fe100        0.5150354  0.1161074   4.436 9.57e-06 ***
## party_fe101       -0.3809988  0.1347681  -2.827 0.004736 ** 
## party_fe102        0.4382119  0.0938443   4.670 3.18e-06 ***
## party_fe103        0.5546967  0.1163788   4.766 1.99e-06 ***
## party_fe104        0.2809565  0.1344082   2.090 0.036691 *  
## party_fe105        0.3630993  0.0809487   4.486 7.61e-06 ***
## party_fe106        0.2455457  0.0857500   2.864 0.004225 ** 
## party_fe107        0.2008685  0.1010642   1.988 0.046974 *  
## party_fe108       -0.0302047  0.0809773  -0.373 0.709179    
## party_fe109       -0.0294953  0.0814347  -0.362 0.717237    
## party_fe110        0.0342102  0.1536687   0.223 0.823847    
## party_fe111        0.1868340  0.1811614   1.031 0.302496    
## party_fe112       -0.0236377  0.1023743  -0.231 0.817416    
## party_fe113        0.1170011  0.0815376   1.435 0.151433    
## party_fe114        0.0868490  0.0809742   1.073 0.283577    
## party_fe115       -0.0043213  0.1785084  -0.024 0.980689    
## party_fe116        0.0892464  0.0842502   1.059 0.289566    
## party_fe117        0.0025797  0.0987610   0.026 0.979163    
## party_fe118       -0.0528145  0.0818925  -0.645 0.519036    
## party_fe119       -0.0145997  0.1515669  -0.096 0.923270    
## party_fe120        0.1218415  0.0820243   1.485 0.137557    
## party_fe121        0.2852395  0.1182597   2.412 0.015939 *  
## party_fe122       -0.0424174  0.0904793  -0.469 0.639248    
## party_fe123        0.2913121  0.1242753   2.344 0.019153 *  
## party_fe124       -0.0565358  0.0936254  -0.604 0.545998    
## party_fe125       -0.0624516  0.0784480  -0.796 0.426057    
## party_fe126       -0.0611348  0.0845021  -0.723 0.469460    
## party_fe127       -0.1670012  0.2437945  -0.685 0.493403    
## party_fe128       -0.0382097  0.0793251  -0.482 0.630073    
## party_fe129        0.2164221  0.1247056   1.735 0.082784 .  
## party_fe130        0.0908729  0.0793214   1.146 0.252060    
## party_fe131        0.3218677  0.1522697   2.114 0.034633 *  
## party_fe132        0.1185547  0.0788236   1.504 0.132696    
## party_fe133       -0.0195650  0.0799413  -0.245 0.806676    
## party_fe134       -0.1164728  0.0916207  -1.271 0.203760    
## party_fe135       -0.0713571  0.1498780  -0.476 0.634045    
## party_fe136       -0.0418031  0.2432690  -0.172 0.863578    
## party_fe137       -0.0236327  0.0784726  -0.301 0.763319    
## party_fe138        0.1194473  0.0780819   1.530 0.126202    
## party_fe139        0.2143709  0.0790443   2.712 0.006734 ** 
## party_fe140        0.0188623  0.0855170   0.221 0.825447    
## party_fe141        0.0476283  0.1207999   0.394 0.693413    
## party_fe142       -0.0623409  0.0867361  -0.719 0.472367    
## party_fe143        0.0771851  0.0866069   0.891 0.372903    
## party_fe144        0.5843099  0.1527604   3.825 0.000134 ***
## party_fe145        0.0877962  0.0867316   1.012 0.311506    
## party_fe146        0.0629951  0.1319083   0.478 0.633001    
## party_fe147        0.0829780  0.1084867   0.765 0.444423    
## party_fe148       -0.0104451  0.0747529  -0.140 0.888886    
## party_fe149        0.0761536  0.1035000   0.736 0.461932    
## party_fe150        0.0627225  0.0738299   0.850 0.395656    
## party_fe151        0.2771693  0.0759891   3.647 0.000270 ***
## party_fe152        0.1332480  0.0922045   1.445 0.148547    
## party_fe153        0.0037043  0.0798223   0.046 0.962990    
## party_fe154       -0.1030943  0.0959003  -1.075 0.282473    
## party_fe155        0.0739856  0.0995476   0.743 0.457420    
## party_fe156       -0.0120379  0.0755928  -0.159 0.873488    
## party_fe157        0.1670245  0.0796574   2.097 0.036114 *  
## party_fe158        0.1690035  0.0753351   2.243 0.024962 *  
## party_fe159        0.0347368  0.0746618   0.465 0.641790    
## party_fe160        0.0517539  0.2418491   0.214 0.830570    
## party_fe161        0.0327220  0.2418427   0.135 0.892383    
## party_fe162        0.0986627  0.2418882   0.408 0.683393    
## party_fe163        0.1154366  0.2419102   0.477 0.633271    
## party_fe164        0.0025288  0.1504158   0.017 0.986588    
## party_fe165       -0.2453751  0.1346316  -1.823 0.068490 .  
## party_fe166        0.2660475  0.1352811   1.967 0.049338 *  
## party_fe167        0.2685568  0.1509348   1.779 0.075315 .  
## party_fe168        0.2597039  0.1508899   1.721 0.085350 .  
## party_fe169        0.1238490  0.1346605   0.920 0.357813    
## party_fe170        0.0166712  0.1325173   0.126 0.899898    
## party_fe171       -0.0868725  0.1137260  -0.764 0.445014    
## party_fe172        0.0726711  0.1138363   0.638 0.523284    
## party_fe173        0.1535743  0.1157565   1.327 0.184731    
## party_fe174        0.1838129  0.1325381   1.387 0.165607    
## party_fe175        0.2284646  0.2422354   0.943 0.345696    
## party_fe176        0.3151252  0.2425639   1.299 0.194016    
## party_fe177        0.0842844  0.1503021   0.561 0.575008    
## party_fe178        0.0819129  0.1150008   0.712 0.476358    
## party_fe179       -0.1344840  0.1147052  -1.172 0.241137    
## party_fe180        0.2552162  0.1154039   2.212 0.027092 *  
## party_fe181        0.2720458  0.1152884   2.360 0.018367 *  
## party_fe182        0.3949877  0.1778360   2.221 0.026436 *  
## party_fe183        0.1783398  0.1323507   1.347 0.177950    
## party_fe184        0.0807704  0.1134764   0.712 0.476668    
## party_fe185        0.0026577  0.1322409   0.020 0.983967    
## party_fe186        0.0623426  0.1135920   0.549 0.583173    
## party_fe187        0.3130840  0.1215456   2.576 0.010057 *  
## party_fe188        0.3729586  0.1214641   3.071 0.002160 ** 
## party_fe189        0.1222702  0.2439727   0.501 0.616301    
## party_fe190        0.1467642  0.2440161   0.601 0.547594    
## party_fe191        0.0652448  0.2439063   0.267 0.789107    
## party_fe192        0.1710547  0.2440681   0.701 0.483464    
## party_fe193        0.1728915  0.2440724   0.708 0.478788    
## party_fe194        0.1960324  0.2441307   0.803 0.422063    
## party_fe195        0.1500208  0.2449327   0.612 0.540265    
## party_fe196        0.2614333  0.1185767   2.205 0.027563 *  
## party_fe197        0.2158158  0.1188429   1.816 0.069496 .  
## party_fe198       -0.0358050  0.1800632  -0.199 0.842399    
## party_fe199        0.1544692  0.1823936   0.847 0.397133    
## party_fe200        0.1279887  0.1821736   0.703 0.482394    
## party_fe201        0.0745381  0.2417848   0.308 0.757893    
## party_fe202        0.1003536  0.2418075   0.415 0.678168    
## party_fe203       -0.1140710  0.1132607  -1.007 0.313960    
## party_fe204        0.2980433  0.2423152   1.230 0.218821    
## party_fe205        0.2567566  0.1149377   2.234 0.025581 *  
## party_fe206       -0.0594725  0.1139688  -0.522 0.601834    
## party_fe207        0.2866706  0.1325128   2.163 0.030611 *  
## party_fe208        0.1808497  0.1140118   1.586 0.112814    
## party_fe209        0.0577799  0.1144452   0.505 0.613696    
## party_fe210        0.0991788  0.1145402   0.866 0.386637    
## party_fe211        0.2331262  0.1143268   2.039 0.041544 *  
## party_fe212        0.0523259  0.1769722   0.296 0.767505    
## party_fe213        0.1601958  0.1146317   1.397 0.162394    
## party_fe214        0.1087054  0.1145062   0.949 0.342540    
## party_fe215        0.2449862  0.1153504   2.124 0.033783 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.233 on 2465 degrees of freedom
## Multiple R-squared:  0.9379, Adjusted R-squared:  0.9315 
## F-statistic: 147.7 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb106"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb106-1" data-line-number="1"><span class="kw">stargazer</span>(modelli4)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:02
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.linear \\ 
## \hline \\[-1.8ex] 
##  rile.y.linear\_lag &amp; 0.829$^{***}$ \\ 
##   &amp; (0.010) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.325$^{***}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.019$^{**}$ \\ 
##   &amp; (0.008) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.004$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.001$^{**}$ \\ 
##   &amp; (0.0005) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.059 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.044 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.088$^{*}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.071 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.121$^{**}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.091$^{*}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.107$^{**}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.084$^{*}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.090$^{*}$ \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.052 \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.048 \\ 
##   &amp; (0.046) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.074 \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.102$^{**}$ \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.043 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.050 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.062 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.060 \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.063 \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.168$^{***}$ \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.104$^{**}$ \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.053 \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.020 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.041 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.080 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.065 \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.086 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.038 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.051 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.003 \\ 
##   &amp; (0.057) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.036 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.028 \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.055 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.049 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.041 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.123 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.142$^{*}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.165$^{*}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.220$^{**}$ \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.146 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.072 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.005 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.026 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.266$^{**}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.079 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.152 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.234$^{**}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.074 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.145$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.006 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.219$^{***}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.023 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.227$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.243$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.384$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.019 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.159$^{*}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.139 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.067 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.200 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.124 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.105 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.011 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.096 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.177 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.037 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.046 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.035 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.198$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.209$^{**}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.086 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.134 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.101 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.191$^{*}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.547$^{***}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.189$^{**}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.057 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.104 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.055 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.069 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.062 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.116 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.243$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.236 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.130$^{*}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.027 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.352$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.046 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.186 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.029 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.001 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.113 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.034 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.189$^{**}$ \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.153 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.025 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.161$^{**}$ \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.087 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.056 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.159 \\ 
##   &amp; (0.136) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.140$^{*}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.032 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.154 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.095 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.225$^{***}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.145$^{*}$ \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.061 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.416$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.251 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.036 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.078 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.043 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.029 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.046 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.002 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.106 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.025 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.398$^{***}$ \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.174$^{*}$ \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.413$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.004 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.187$^{**}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.382$^{***}$ \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.255$^{***}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.078 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.138 \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.219$^{***}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.385$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.281$^{**}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.209 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.515$^{***}$ \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.381$^{***}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.438$^{***}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.555$^{***}$ \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.281$^{**}$ \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.363$^{***}$ \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.246$^{***}$ \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.201$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.030 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.029 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.034 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.187 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.024 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.117 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.087 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.004 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.089 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.003 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.053 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.015 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.122 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.285$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; $-$0.042 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.291$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.057 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.062 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.061 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.167 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.038 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.091 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.322$^{**}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.119 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.020 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.116 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.071 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.042 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.024 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.119 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.214$^{***}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.019 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.048 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.062 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.077 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.584$^{***}$ \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.088 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.063 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.083 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.010 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.076 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.063 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.277$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.133 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.004 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.103 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.074 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.012 \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.167$^{**}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.169$^{**}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.035 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.052 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.033 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.099 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.115 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.003 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.245$^{*}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.266$^{**}$ \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.269$^{*}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.260$^{*}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.124 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.017 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.087 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.073 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.154 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.184 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.228 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.315 \\ 
##   &amp; (0.243) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.084 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.082 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.134 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.255$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.272$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.395$^{**}$ \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.178 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.081 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.003 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.062 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.313$^{**}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.373$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.122 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.147 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.065 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.171 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.173 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.196 \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.150 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.036 \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.154 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.128 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.075 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.100 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.114 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.298 \\ 
##   &amp; (0.242) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.059 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.287$^{**}$ \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.181 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.058 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.099 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.052 \\ 
##   &amp; (0.177) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.160 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.109 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.799 \\ 
##   &amp; (0.588) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.938 \\ 
## Adjusted R$^{2}$ &amp; 0.932 \\ 
## Residual Std. Error &amp; 0.233 (df = 2465) \\ 
## F Statistic &amp; 147.656$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="table-s8" class="section level2">
<h2>Table S8</h2>
<div class="sourceCode" id="cb108"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb108-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb108-2" data-line-number="2"></a>
<a class="sourceLine" id="cb108-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_spline.RData&quot;</span>)</a>
<a class="sourceLine" id="cb108-4" data-line-number="4"></a>
<a class="sourceLine" id="cb108-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb108-6" data-line-number="6"></a>
<a class="sourceLine" id="cb108-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb108-8" data-line-number="8"></a>
<a class="sourceLine" id="cb108-9" data-line-number="9"><span class="co"># Model LI1 in Table S7 </span></a>
<a class="sourceLine" id="cb108-10" data-line-number="10"></a>
<a class="sourceLine" id="cb108-11" data-line-number="11">modelsi1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.spline ~  spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 +  year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb108-12" data-line-number="12"></a>
<a class="sourceLine" id="cb108-13" data-line-number="13">modelsi1 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelsi1, <span class="dt">data =</span> dataframe_spline)</a>
<a class="sourceLine" id="cb108-14" data-line-number="14"><span class="kw">summary</span>(modelsi1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelsi1, data = dataframe_spline)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.91870 -0.25894 -0.00072  0.23866  2.19936 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)  3.941624   0.182004  21.657  &lt; 2e-16 ***
## spruled      0.007208   0.001892   3.810 0.000142 ***
## year_fe2     0.049927   0.106298   0.470 0.638617    
## year_fe3     0.170627   0.105135   1.623 0.104732    
## year_fe4     0.175980   0.105493   1.668 0.095409 .  
## year_fe5     0.230646   0.106143   2.173 0.029877 *  
## year_fe6     0.465477   0.105779   4.400 1.13e-05 ***
## year_fe7     0.560871   0.108065   5.190 2.27e-07 ***
## year_fe8     0.504771   0.102434   4.928 8.87e-07 ***
## year_fe9     0.340647   0.113145   3.011 0.002633 ** 
## year_fe10    0.198785   0.129415   1.536 0.124660    
## year_fe11    0.288383   0.114919   2.509 0.012156 *  
## year_fe12    0.267561   0.108443   2.467 0.013681 *  
## year_fe13    0.350983   0.101458   3.459 0.000551 ***
## year_fe14    0.431654   0.098167   4.397 1.14e-05 ***
## year_fe15    0.158821   0.125593   1.265 0.206146    
## year_fe16   -0.107486   0.164429  -0.654 0.513372    
## year_fe17   -0.084196   0.154760  -0.544 0.586462    
## year_fe18   -0.096992   0.154362  -0.628 0.529838    
## year_fe19    0.002058   0.134478   0.015 0.987792    
## year_fe20   -0.167488   0.200929  -0.834 0.404605    
## year_fe21   -0.147744   0.210427  -0.702 0.482674    
## year_fe22   -0.164302   0.203695  -0.807 0.419969    
## year_fe23   -0.358539   0.230607  -1.555 0.120131    
## year_fe24   -0.410525   0.233043  -1.762 0.078264 .  
## year_fe25   -0.333244   0.210425  -1.584 0.113397    
## year_fe26   -0.411532   0.222743  -1.848 0.064785 .  
## year_fe27   -0.119396   0.167904  -0.711 0.477092    
## year_fe28   -0.166177   0.176396  -0.942 0.346248    
## year_fe29   -0.728777   0.296431  -2.459 0.014020 *  
## year_fe30   -0.637181   0.267976  -2.378 0.017494 *  
## year_fe31   -0.495359   0.216804  -2.285 0.022408 *  
## year_fe32   -0.626582   0.234179  -2.676 0.007508 ** 
## year_fe33   -0.637562   0.244434  -2.608 0.009154 ** 
## year_fe34   -0.591498   0.237913  -2.486 0.012977 *  
## party_fe2   -0.635142   0.186734  -3.401 0.000681 ***
## party_fe3    0.135122   0.186734   0.724 0.469376    
## party_fe4    1.199984   0.186734   6.426 1.57e-10 ***
## party_fe5    1.020824   0.186734   5.467 5.04e-08 ***
## party_fe6    1.691086   0.186734   9.056  &lt; 2e-16 ***
## party_fe7   -0.559876   0.225002  -2.488 0.012900 *  
## party_fe8   -0.199993   0.225002  -0.889 0.374169    
## party_fe9    0.321239   0.225002   1.428 0.153500    
## party_fe10   0.538951   0.225002   2.395 0.016680 *  
## party_fe11   1.005509   0.225002   4.469 8.22e-06 ***
## party_fe12   0.446709   0.324817   1.375 0.169175    
## party_fe13  -0.230166   0.211927  -1.086 0.277558    
## party_fe14  -0.664880   0.206270  -3.223 0.001284 ** 
## party_fe15  -0.393312   0.184062  -2.137 0.032709 *  
## party_fe16  -0.626333   0.159744  -3.921 9.06e-05 ***
## party_fe17   0.166544   0.159744   1.043 0.297251    
## party_fe18   1.655300   0.168960   9.797  &lt; 2e-16 ***
## party_fe19   0.473767   0.159744   2.966 0.003048 ** 
## party_fe20   1.914598   0.159744  11.985  &lt; 2e-16 ***
## party_fe21   1.607953   0.163172   9.854  &lt; 2e-16 ***
## party_fe22   1.787311   0.159744  11.189  &lt; 2e-16 ***
## party_fe23   1.967692   0.198316   9.922  &lt; 2e-16 ***
## party_fe24  -0.220170   0.183837  -1.198 0.231174    
## party_fe25  -0.837978   0.183837  -4.558 5.41e-06 ***
## party_fe26  -0.054868   0.183837  -0.298 0.765377    
## party_fe27   0.500162   0.531947   0.940 0.347182    
## party_fe28   1.308452   0.324800   4.028 5.78e-05 ***
## party_fe29   1.085572   0.183837   5.905 4.01e-09 ***
## party_fe30   0.952455   0.183837   5.181 2.39e-07 ***
## party_fe31   0.262916   0.163730   1.606 0.108449    
## party_fe32   0.489627   0.163730   2.990 0.002813 ** 
## party_fe33   0.662484   0.248425   2.667 0.007709 ** 
## party_fe34   0.194912   0.163804   1.190 0.234197    
## party_fe35  -0.017228   0.161065  -0.107 0.914827    
## party_fe36   0.239594   0.386853   0.619 0.535749    
## party_fe37   1.271554   0.159544   7.970 2.40e-15 ***
## party_fe38   1.244608   0.180709   6.887 7.18e-12 ***
## party_fe39   0.552566   0.325426   1.698 0.089638 .  
## party_fe40   1.268458   0.291232   4.355 1.38e-05 ***
## party_fe41   0.531137   0.325256   1.633 0.102600    
## party_fe42   0.048587   0.235126   0.207 0.836306    
## party_fe43   2.635138   0.324749   8.114 7.62e-16 ***
## party_fe44   1.038481   0.159544   6.509 9.13e-11 ***
## party_fe45   0.532433   0.159544   3.337 0.000859 ***
## party_fe46   0.174190   0.173122   1.006 0.314433    
## party_fe47   0.177823   0.183843   0.967 0.333510    
## party_fe48  -0.006081   0.200423  -0.030 0.975799    
## party_fe49   0.197275   0.159209   1.239 0.215426    
## party_fe50   0.342608   0.159209   2.152 0.031499 *  
## party_fe51   1.377685   0.159209   8.653  &lt; 2e-16 ***
## party_fe52   0.134349   0.324864   0.414 0.679237    
## party_fe53   0.627124   0.159903   3.922 9.02e-05 ***
## party_fe54   0.525093   0.291597   1.801 0.071865 .  
## party_fe55   1.558706   0.224389   6.946 4.77e-12 ***
## party_fe56   0.899303   0.324864   2.768 0.005678 ** 
## party_fe57   2.131262   0.288772   7.380 2.14e-13 ***
## party_fe58  -0.007502   0.290005  -0.026 0.979365    
## party_fe59  -0.365870   0.217601  -1.681 0.092816 .  
## party_fe60   0.282813   0.216114   1.309 0.190783    
## party_fe61  -0.142659   0.247833  -0.576 0.564921    
## party_fe62  -1.229103   0.183296  -6.706 2.48e-11 ***
## party_fe63  -0.941357   0.530509  -1.774 0.076113 .  
## party_fe64  -0.249751   0.159269  -1.568 0.116985    
## party_fe65   0.795965   0.159269   4.998 6.21e-07 ***
## party_fe66   0.390580   0.159269   2.452 0.014262 *  
## party_fe67  -0.255870   0.181249  -1.412 0.158164    
## party_fe68   0.723796   0.288902   2.505 0.012298 *  
## party_fe69  -0.607255   0.159153  -3.816 0.000139 ***
## party_fe70  -0.078008   0.159153  -0.490 0.624076    
## party_fe71   0.991224   0.534135   1.856 0.063607 .  
## party_fe72   0.644724   0.534135   1.207 0.227531    
## party_fe73   1.495890   0.168278   8.889  &lt; 2e-16 ***
## party_fe74   1.478775   0.185768   7.960 2.59e-15 ***
## party_fe75   1.101267   0.160604   6.857 8.85e-12 ***
## party_fe76   0.426285   0.224402   1.900 0.057596 .  
## party_fe77   2.360411   0.168696  13.992  &lt; 2e-16 ***
## party_fe78   1.630552   0.386560   4.218 2.55e-05 ***
## party_fe79   0.543048   0.191413   2.837 0.004590 ** 
## party_fe80   0.497291   0.288787   1.722 0.085195 .  
## party_fe81   0.220004   0.211223   1.042 0.297712    
## party_fe82  -0.276673   0.226143  -1.223 0.221280    
## party_fe83  -0.369376   0.187429  -1.971 0.048864 *  
## party_fe84   0.277179   0.247608   1.119 0.263067    
## party_fe85   0.672512   0.163656   4.109 4.10e-05 ***
## party_fe86   0.106245   0.530328   0.200 0.841232    
## party_fe87   2.306496   0.169715  13.590  &lt; 2e-16 ***
## party_fe88   0.819945   0.178432   4.595 4.54e-06 ***
## party_fe89   2.407979   0.290328   8.294  &lt; 2e-16 ***
## party_fe90   0.277179   0.247608   1.119 0.263067    
## party_fe91   0.986445   0.183075   5.388 7.79e-08 ***
## party_fe92   1.686777   0.183075   9.214  &lt; 2e-16 ***
## party_fe93   1.367162   0.183075   7.468 1.12e-13 ***
## party_fe94   0.497291   0.288787   1.722 0.085195 .  
## party_fe95   0.970616   0.386560   2.511 0.012106 *  
## party_fe96   1.167196   0.169715   6.877 7.70e-12 ***
## party_fe97   2.403077   0.290328   8.277  &lt; 2e-16 ***
## party_fe98   1.679153   0.288787   5.814 6.87e-09 ***
## party_fe99   1.359191   0.532046   2.555 0.010689 *  
## party_fe100  2.124661   0.249082   8.530  &lt; 2e-16 ***
## party_fe101  0.428801   0.288806   1.485 0.137741    
## party_fe102  2.439184   0.194281  12.555  &lt; 2e-16 ***
## party_fe103  2.129532   0.247608   8.600  &lt; 2e-16 ***
## party_fe104  1.679153   0.288787   5.814 6.87e-09 ***
## party_fe105  1.750705   0.161702  10.827  &lt; 2e-16 ***
## party_fe106  1.654183   0.179191   9.231  &lt; 2e-16 ***
## party_fe107  0.385662   0.215970   1.786 0.074267 .  
## party_fe108 -0.413412   0.167431  -2.469 0.013611 *  
## party_fe109  0.009169   0.167431   0.055 0.956332    
## party_fe110  0.761453   0.326084   2.335 0.019616 *  
## party_fe111  0.782799   0.387988   2.018 0.043743 *  
## party_fe112  0.103547   0.210547   0.492 0.622905    
## party_fe113  0.891856   0.167431   5.327 1.09e-07 ***
## party_fe114  0.652218   0.167431   3.895 0.000101 ***
## party_fe115 -0.084270   0.386370  -0.218 0.827364    
## party_fe116  0.391620   0.173565   2.256 0.024137 *  
## party_fe117  0.079678   0.204191   0.390 0.696413    
## party_fe118 -0.160171   0.165437  -0.968 0.333056    
## party_fe119 -0.166507   0.325271  -0.512 0.608765    
## party_fe120  1.267709   0.165437   7.663 2.60e-14 ***
## party_fe121  1.305396   0.248310   5.257 1.59e-07 ***
## party_fe122  0.566947   0.194441   2.916 0.003580 ** 
## party_fe123  1.281442   0.266367   4.811 1.59e-06 ***
## party_fe124 -0.326373   0.203360  -1.605 0.108642    
## party_fe125  0.033775   0.167456   0.202 0.840173    
## party_fe126 -0.172563   0.181601  -0.950 0.342089    
## party_fe127 -0.723236   0.532193  -1.359 0.174279    
## party_fe128  0.106767   0.167456   0.638 0.523805    
## party_fe129  1.533126   0.266367   5.756 9.70e-09 ***
## party_fe130  0.867053   0.167456   5.178 2.43e-07 ***
## party_fe131  2.226589   0.326113   6.828 1.08e-11 ***
## party_fe132  0.801215   0.167456   4.785 1.81e-06 ***
## party_fe133 -0.093819   0.165211  -0.568 0.570171    
## party_fe134 -0.613651   0.190624  -3.219 0.001302 ** 
## party_fe135 -0.488630   0.324633  -1.505 0.132407    
## party_fe136 -0.109673   0.530598  -0.207 0.836264    
## party_fe137  0.254513   0.159338   1.597 0.110324    
## party_fe138  1.009742   0.159338   6.337 2.77e-10 ***
## party_fe139  1.642215   0.159338  10.306  &lt; 2e-16 ***
## party_fe140  0.515127   0.186834   2.757 0.005874 ** 
## party_fe141 -0.120204   0.264966  -0.454 0.650115    
## party_fe142  0.305630   0.186834   1.636 0.102001    
## party_fe143  1.176926   0.186834   6.299 3.53e-10 ***
## party_fe144  3.583384   0.324744  11.034  &lt; 2e-16 ***
## party_fe145  1.228288   0.186834   6.574 5.95e-11 ***
## party_fe146  0.594025   0.288833   2.057 0.039826 *  
## party_fe147  0.392501   0.234668   1.673 0.094538 .  
## party_fe148  0.042537   0.159145   0.267 0.789270    
## party_fe149  0.474132   0.225976   2.098 0.035993 *  
## party_fe150  0.482007   0.159145   3.029 0.002481 ** 
## party_fe151  1.821606   0.159145  11.446  &lt; 2e-16 ***
## party_fe152  0.799742   0.198600   4.027 5.82e-05 ***
## party_fe153 -0.088464   0.173113  -0.511 0.609385    
## party_fe154 -0.802424   0.204972  -3.915 9.29e-05 ***
## party_fe155 -0.031599   0.216440  -0.146 0.883940    
## party_fe156 -0.038514   0.159157  -0.242 0.808809    
## party_fe157  0.944686   0.170031   5.556 3.06e-08 ***
## party_fe158  0.935082   0.159157   5.875 4.79e-09 ***
## party_fe159  0.516497   0.159157   3.245 0.001189 ** 
## party_fe160  0.238062   0.530524   0.449 0.653665    
## party_fe161  0.127036   0.530524   0.239 0.810774    
## party_fe162  0.511717   0.530524   0.965 0.334865    
## party_fe163  0.609573   0.530524   1.149 0.250667    
## party_fe164 -0.098279   0.324557  -0.303 0.762062    
## party_fe165 -0.121496   0.288691  -0.421 0.673901    
## party_fe166  1.494125   0.288691   5.176 2.46e-07 ***
## party_fe167  1.453668   0.324557   4.479 7.84e-06 ***
## party_fe168  1.402022   0.324557   4.320 1.62e-05 ***
## party_fe169  0.519906   0.288691   1.801 0.071839 .  
## party_fe170  0.542554   0.288915   1.878 0.060512 .  
## party_fe171 -0.154951   0.247771  -0.625 0.531779    
## party_fe172  0.413809   0.247771   1.670 0.095022 .  
## party_fe173  1.721066   0.247771   6.946 4.78e-12 ***
## party_fe174  1.006382   0.288915   3.483 0.000504 ***
## party_fe175  1.211977   0.530243   2.286 0.022356 *  
## party_fe176  1.717534   0.530243   3.239 0.001215 ** 
## party_fe177  0.352407   0.324799   1.085 0.278028    
## party_fe178  0.610564   0.247928   2.463 0.013859 *  
## party_fe179 -0.120579   0.247928  -0.486 0.626766    
## party_fe180  1.263562   0.247928   5.096 3.72e-07 ***
## party_fe181  1.171234   0.247928   4.724 2.44e-06 ***
## party_fe182  1.998192   0.386502   5.170 2.53e-07 ***
## party_fe183  0.522977   0.288846   1.811 0.070328 .  
## party_fe184  0.732235   0.247827   2.955 0.003160 ** 
## party_fe185  0.018365   0.288846   0.064 0.949308    
## party_fe186  0.535077   0.247827   2.159 0.030940 *  
## party_fe187  1.390353   0.265017   5.246 1.68e-07 ***
## party_fe188  1.459896   0.265017   5.509 3.99e-08 ***
## party_fe189  0.851290   0.530620   1.604 0.108769    
## party_fe190  0.994183   0.530620   1.874 0.061100 .  
## party_fe191  0.518618   0.530620   0.977 0.328477    
## party_fe192  1.135888   0.530620   2.141 0.032397 *  
## party_fe193  1.146603   0.530620   2.161 0.030801 *  
## party_fe194  1.281603   0.530620   2.415 0.015795 *  
## party_fe195  0.836435   0.530215   1.578 0.114799    
## party_fe196  1.130583   0.247730   4.564 5.27e-06 ***
## party_fe197  1.230173   0.247730   4.966 7.31e-07 ***
## party_fe198  1.206112   0.386413   3.121 0.001821 ** 
## party_fe199  1.529408   0.386556   3.957 7.82e-05 ***
## party_fe200  1.172108   0.386556   3.032 0.002453 ** 
## party_fe201  0.364907   0.530245   0.688 0.491401    
## party_fe202  0.515506   0.530245   0.972 0.331044    
## party_fe203  0.090613   0.248040   0.365 0.714905    
## party_fe204  1.668783   0.530245   3.147 0.001668 ** 
## party_fe205  2.001004   0.248040   8.067 1.11e-15 ***
## party_fe206  0.880785   0.248040   3.551 0.000391 ***
## party_fe207  1.493442   0.289222   5.164 2.62e-07 ***
## party_fe208  1.178500   0.248040   4.751 2.14e-06 ***
## party_fe209  0.515949   0.247759   2.082 0.037403 *  
## party_fe210  0.721059   0.247759   2.910 0.003643 ** 
## party_fe211  0.896649   0.247759   3.619 0.000302 ***
## party_fe212  0.430636   0.386646   1.114 0.265485    
## party_fe213  0.933999   0.247759   3.770 0.000167 ***
## party_fe214  0.700899   0.247759   2.829 0.004708 ** 
## party_fe215  1.555449   0.247759   6.278 4.04e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.5114 on 2469 degrees of freedom
## Multiple R-squared:  0.7142, Adjusted R-squared:  0.6855 
## F-statistic: 24.88 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb110"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb110-1" data-line-number="1"><span class="kw">stargazer</span>(modelsi1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:03
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.spline \\ 
## \hline \\[-1.8ex] 
##  spruled &amp; 0.007$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.050 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.171 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.176$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.231$^{**}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.465$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.561$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.505$^{***}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.341$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.199 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.288$^{**}$ \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.351$^{***}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.432$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.159 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.107 \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.084 \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.097 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.002 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.167 \\ 
##   &amp; (0.201) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.148 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.164 \\ 
##   &amp; (0.204) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.359 \\ 
##   &amp; (0.231) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.411$^{*}$ \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.333 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.412$^{*}$ \\ 
##   &amp; (0.223) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.119 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.166 \\ 
##   &amp; (0.176) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.729$^{**}$ \\ 
##   &amp; (0.296) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.637$^{**}$ \\ 
##   &amp; (0.268) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.495$^{**}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.627$^{***}$ \\ 
##   &amp; (0.234) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.638$^{***}$ \\ 
##   &amp; (0.244) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.591$^{**}$ \\ 
##   &amp; (0.238) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.635$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.135 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.200$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 1.021$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 1.691$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.560$^{**}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.200 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.321 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.539$^{**}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.006$^{***}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.447 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.230 \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.665$^{***}$ \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.393$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.626$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.167 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.655$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.474$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 1.915$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.608$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.787$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 1.968$^{***}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.220 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.838$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.055 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.500 \\ 
##   &amp; (0.532) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.308$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 1.086$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.952$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.263 \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.490$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.662$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.195 \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.017 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.240 \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.272$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.245$^{***}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.553$^{*}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.268$^{***}$ \\ 
##   &amp; (0.291) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.531 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.049 \\ 
##   &amp; (0.235) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.635$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 1.038$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.532$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.174 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.178 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.006 \\ 
##   &amp; (0.200) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.197 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.343$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.378$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.134 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.627$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.525$^{*}$ \\ 
##   &amp; (0.292) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.559$^{***}$ \\ 
##   &amp; (0.224) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.899$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.131$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; $-$0.008 \\ 
##   &amp; (0.290) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.366$^{*}$ \\ 
##   &amp; (0.218) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.283 \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; $-$0.143 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.229$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.941$^{*}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.250 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.796$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.391$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.256 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.724$^{**}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.607$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.078 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.991$^{*}$ \\ 
##   &amp; (0.534) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.645 \\ 
##   &amp; (0.534) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.496$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.479$^{***}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.101$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.426$^{*}$ \\ 
##   &amp; (0.224) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.360$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.631$^{***}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.543$^{***}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.497$^{*}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.220 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.277 \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.369$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.277 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.673$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.106 \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.306$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.820$^{***}$ \\ 
##   &amp; (0.178) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.408$^{***}$ \\ 
##   &amp; (0.290) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.277 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.986$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.687$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.367$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.497$^{*}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.971$^{**}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.167$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.403$^{***}$ \\ 
##   &amp; (0.290) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.679$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.359$^{**}$ \\ 
##   &amp; (0.532) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.125$^{***}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 0.429 \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.439$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.130$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.679$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.751$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.654$^{***}$ \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.386$^{*}$ \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.413$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.009 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.761$^{**}$ \\ 
##   &amp; (0.326) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.783$^{**}$ \\ 
##   &amp; (0.388) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.104 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.892$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.652$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.084 \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.392$^{**}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.080 \\ 
##   &amp; (0.204) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.160 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.167 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.268$^{***}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.305$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.567$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.281$^{***}$ \\ 
##   &amp; (0.266) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.326 \\ 
##   &amp; (0.203) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.034 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.173 \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.723 \\ 
##   &amp; (0.532) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.107 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.533$^{***}$ \\ 
##   &amp; (0.266) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.867$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.227$^{***}$ \\ 
##   &amp; (0.326) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.801$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.094 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.614$^{***}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.489 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.110 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.255 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 1.010$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.642$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.515$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.120 \\ 
##   &amp; (0.265) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.306 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.177$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.583$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.228$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.594$^{**}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.393$^{*}$ \\ 
##   &amp; (0.235) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.043 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.474$^{**}$ \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.482$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.822$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.800$^{***}$ \\ 
##   &amp; (0.199) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.088 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.802$^{***}$ \\ 
##   &amp; (0.205) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; $-$0.032 \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.039 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.945$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.935$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.516$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.238 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.127 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.512 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.610 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.098 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.121 \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.494$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.454$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.402$^{***}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.520$^{*}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.543$^{*}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.155 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.414$^{*}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 1.721$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 1.006$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.212$^{**}$ \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.718$^{***}$ \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.352 \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.611$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.121 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.264$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.171$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 1.998$^{***}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.523$^{*}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.732$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.018 \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.535$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.390$^{***}$ \\ 
##   &amp; (0.265) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.460$^{***}$ \\ 
##   &amp; (0.265) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.851 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.994$^{*}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.519 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.136$^{**}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.147$^{**}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.282$^{**}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.836 \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.131$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.230$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.206$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.529$^{***}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.172$^{***}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.365 \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.516 \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.091 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.669$^{***}$ \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 2.001$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.881$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.493$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.178$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.516$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.721$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.897$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.431 \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.934$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.701$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.555$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  Constant &amp; 3.942$^{***}$ \\ 
##   &amp; (0.182) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.714 \\ 
## Adjusted R$^{2}$ &amp; 0.685 \\ 
## Residual Std. Error &amp; 0.511 (df = 2469) \\ 
## F Statistic &amp; 24.879$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb112"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb112-1" data-line-number="1"><span class="co"># Model LI2 in Table S7</span></a>
<a class="sourceLine" id="cb112-2" data-line-number="2"></a>
<a class="sourceLine" id="cb112-3" data-line-number="3">modelsi2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.spline ~ rile.y.spline_lag + lag_cmedian + lag_econ_glob + interaction + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb112-4" data-line-number="4"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb112-5" data-line-number="5"></a>
<a class="sourceLine" id="cb112-6" data-line-number="6">modelsi2 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelsi2, <span class="dt">data =</span> dataframe_spline)</a>
<a class="sourceLine" id="cb112-7" data-line-number="7"><span class="kw">summary</span>(modelsi2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelsi2, data = dataframe_spline)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5519 -0.1044  0.0000  0.1128  1.9633 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -0.9933436  0.7672951  -1.295 0.195578    
## rile.y.spline_lag  0.8217209  0.0120059  68.443  &lt; 2e-16 ***
## lag_cmedian        0.2749440  0.1461448   1.881 0.060047 .  
## lag_econ_glob      0.0172844  0.0104129   1.660 0.097063 .  
## interaction       -0.0033983  0.0019542  -1.739 0.082162 .  
## spruled            0.0045183  0.0011114   4.065 4.95e-05 ***
## year_fe2           0.0730443  0.0618137   1.182 0.237445    
## year_fe3           0.1605341  0.0611163   2.627 0.008675 ** 
## year_fe4           0.1737171  0.0616610   2.817 0.004882 ** 
## year_fe5           0.1821253  0.0623371   2.922 0.003514 ** 
## year_fe6           0.3083154  0.0627158   4.916 9.41e-07 ***
## year_fe7           0.3376229  0.0642412   5.256 1.60e-07 ***
## year_fe8           0.2693148  0.0610150   4.414 1.06e-05 ***
## year_fe9           0.1359865  0.0681761   1.995 0.046193 *  
## year_fe10         -0.0246168  0.0779046  -0.316 0.752040    
## year_fe11          0.0749667  0.0689574   1.087 0.277079    
## year_fe12          0.0350429  0.0651640   0.538 0.590788    
## year_fe13          0.1608028  0.0611397   2.630 0.008589 ** 
## year_fe14          0.2224307  0.0611623   3.637 0.000282 ***
## year_fe15          0.0442287  0.0781525   0.566 0.571494    
## year_fe16         -0.1316082  0.1011844  -1.301 0.193491    
## year_fe17         -0.0881778  0.0960592  -0.918 0.358733    
## year_fe18         -0.0911751  0.0969865  -0.940 0.347269    
## year_fe19         -0.0034554  0.0862903  -0.040 0.968061    
## year_fe20         -0.1858436  0.1242086  -1.496 0.134724    
## year_fe21         -0.2040409  0.1307529  -1.561 0.118768    
## year_fe22         -0.2361294  0.1287106  -1.835 0.066689 .  
## year_fe23         -0.3403540  0.1451387  -2.345 0.019105 *  
## year_fe24         -0.3242052  0.1468080  -2.208 0.027311 *  
## year_fe25         -0.2408511  0.1366567  -1.762 0.078117 .  
## year_fe26         -0.2885284  0.1427389  -2.021 0.043349 *  
## year_fe27         -0.0978556  0.1116892  -0.876 0.381038    
## year_fe28         -0.1397320  0.1164491  -1.200 0.230278    
## year_fe29         -0.5173279  0.1840155  -2.811 0.004973 ** 
## year_fe30         -0.4185570  0.1665377  -2.513 0.012025 *  
## year_fe31         -0.3366241  0.1389828  -2.422 0.015505 *  
## year_fe32         -0.3613135  0.1492810  -2.420 0.015577 *  
## year_fe33         -0.3258670  0.1534209  -2.124 0.033769 *  
## year_fe34         -0.2922124  0.1494442  -1.955 0.050657 .  
## party_fe2         -0.1210462  0.1087354  -1.113 0.265723    
## party_fe3         -0.1390652  0.1085496  -1.281 0.200272    
## party_fe4          0.1617592  0.1095312   1.477 0.139848    
## party_fe5          0.1285136  0.1092563   1.176 0.239606    
## party_fe6          0.1240381  0.1108656   1.119 0.263328    
## party_fe7         -0.0639611  0.1317737  -0.485 0.627446    
## party_fe8          0.1044190  0.1316195   0.793 0.427656    
## party_fe9          0.1593924  0.1314925   1.212 0.225560    
## party_fe10         0.2644040  0.1315148   2.010 0.044492 *  
## party_fe11         0.3105625  0.1317794   2.357 0.018517 *  
## party_fe12         0.0771973  0.1890012   0.408 0.682980    
## party_fe13        -0.0660827  0.1237639  -0.534 0.593430    
## party_fe14         0.0385850  0.1210024   0.319 0.749846    
## party_fe15        -0.0606387  0.1076118  -0.563 0.573149    
## party_fe16        -0.1027334  0.0934176  -1.100 0.271561    
## party_fe17         0.0077361  0.0931085   0.083 0.933789    
## party_fe18         0.3090252  0.1002361   3.083 0.002072 ** 
## party_fe19         0.0918856  0.0932387   0.985 0.324481    
## party_fe20         0.3039347  0.0959583   3.167 0.001557 ** 
## party_fe21         0.2766063  0.0969668   2.853 0.004373 ** 
## party_fe22         0.3410537  0.0954033   3.575 0.000357 ***
## party_fe23         0.3958435  0.1183323   3.345 0.000835 ***
## party_fe24         0.0098813  0.1084131   0.091 0.927385    
## party_fe25        -0.1895108  0.1087593  -1.742 0.081549 .  
## party_fe26        -0.0004004  0.1083703  -0.004 0.997053    
## party_fe27         0.0480745  0.3104141   0.155 0.876935    
## party_fe28         0.2186117  0.1906318   1.147 0.251586    
## party_fe29         0.1483986  0.1092647   1.358 0.174538    
## party_fe30         0.1421586  0.1090433   1.304 0.192461    
## party_fe31         0.0513261  0.0965600   0.532 0.595089    
## party_fe32         0.1172685  0.0966924   1.213 0.225323    
## party_fe33         0.2813499  0.1449697   1.941 0.052402 .  
## party_fe34         0.0914027  0.0967689   0.945 0.344983    
## party_fe35        -0.0441253  0.0949415  -0.465 0.642142    
## party_fe36         0.0568222  0.2250549   0.252 0.800690    
## party_fe37         0.2448327  0.0954844   2.564 0.010403 *  
## party_fe38         0.2319652  0.1083078   2.142 0.032314 *  
## party_fe39         0.1461426  0.1897913   0.770 0.441363    
## party_fe40         0.2092019  0.1712601   1.222 0.221997    
## party_fe41         0.1346045  0.1895403   0.710 0.477670    
## party_fe42         0.1263743  0.1372401   0.921 0.357231    
## party_fe43         0.5483057  0.1915138   2.863 0.004232 ** 
## party_fe44         0.2325077  0.0949912   2.448 0.014447 *  
## party_fe45         0.1003400  0.0944016   1.063 0.287929    
## party_fe46         0.0664431  0.1018331   0.652 0.514159    
## party_fe47         0.0535972  0.1078947   0.497 0.619406    
## party_fe48         0.1141912  0.1184604   0.964 0.335160    
## party_fe49         0.0951879  0.0942942   1.009 0.312844    
## party_fe50         0.1235002  0.0943415   1.309 0.190631    
## party_fe51         0.2544365  0.0957411   2.658 0.007922 ** 
## party_fe52        -0.2893315  0.1892014  -1.529 0.126337    
## party_fe53         0.0851022  0.0951091   0.895 0.370990    
## party_fe54         0.1487523  0.1700822   0.875 0.381882    
## party_fe55         0.3037693  0.1323135   2.296 0.021769 *  
## party_fe56        -0.0028693  0.1895716  -0.015 0.987925    
## party_fe57        -0.1009530  0.1713951  -0.589 0.555910    
## party_fe58         0.0047195  0.1725413   0.027 0.978180    
## party_fe59         0.0247783  0.1325303   0.187 0.851705    
## party_fe60         0.1899036  0.1288338   1.474 0.140604    
## party_fe61         0.0265220  0.1447495   0.183 0.854635    
## party_fe62        -0.1729184  0.1155106  -1.497 0.134523    
## party_fe63        -0.2089005  0.3088099  -0.676 0.498806    
## party_fe64        -0.0031863  0.0981072  -0.032 0.974094    
## party_fe65         0.1448037  0.0987841   1.466 0.142814    
## party_fe66         0.1458196  0.0982616   1.484 0.137938    
## party_fe67        -0.0971155  0.1122629  -0.865 0.387083    
## party_fe68         0.1569944  0.1732973   0.906 0.365064    
## party_fe69        -0.1136697  0.1021836  -1.112 0.266072    
## party_fe70         0.0207474  0.1018143   0.204 0.838544    
## party_fe71         0.3283014  0.3149996   1.042 0.297408    
## party_fe72         0.2665281  0.3149176   0.846 0.397444    
## party_fe73         0.2692195  0.1087552   2.475 0.013373 *  
## party_fe74         0.2834967  0.1186876   2.389 0.016988 *  
## party_fe75         0.1846973  0.1028383   1.796 0.072617 .  
## party_fe76         0.0603552  0.1349099   0.447 0.654644    
## party_fe77         0.4289657  0.1088816   3.940 8.38e-05 ***
## party_fe78         0.2319876  0.2274547   1.020 0.307862    
## party_fe79         0.0929259  0.1161434   0.800 0.423732    
## party_fe80         0.1018361  0.1701987   0.598 0.549670    
## party_fe81         0.0888194  0.1334634   0.665 0.505795    
## party_fe82        -0.0302320  0.1393596  -0.217 0.828277    
## party_fe83        -0.0109622  0.1125168  -0.097 0.922395    
## party_fe84        -0.0628225  0.1464921  -0.429 0.668073    
## party_fe85         0.1004847  0.1028760   0.977 0.328786    
## party_fe86         0.0511073  0.3092875   0.165 0.868767    
## party_fe87         0.4621112  0.1101875   4.194 2.84e-05 ***
## party_fe88         0.2332433  0.1137846   2.050 0.040483 *  
## party_fe89         0.5032373  0.1725221   2.917 0.003567 ** 
## party_fe90        -0.0628225  0.1464921  -0.429 0.668073    
## party_fe91         0.2435047  0.1173165   2.076 0.038032 *  
## party_fe92         0.4200402  0.1182861   3.551 0.000391 ***
## party_fe93         0.3460794  0.1177705   2.939 0.003328 ** 
## party_fe94         0.1018361  0.1701987   0.598 0.549670    
## party_fe95         0.1143350  0.2269600   0.504 0.614470    
## party_fe96         0.2728672  0.1076773   2.534 0.011334 *  
## party_fe97         0.5023634  0.1725132   2.912 0.003623 ** 
## party_fe98         0.3125373  0.1710883   1.827 0.067857 .  
## party_fe99         0.2380491  0.3107271   0.766 0.443688    
## party_fe100        0.6015332  0.1484389   4.052 5.23e-05 ***
## party_fe101       -0.4944681  0.1706823  -2.897 0.003801 ** 
## party_fe102        0.4927866  0.1189478   4.143 3.55e-05 ***
## party_fe103        0.5740939  0.1478987   3.882 0.000106 ***
## party_fe104        0.3125373  0.1710883   1.827 0.067857 .  
## party_fe105        0.4021758  0.1029573   3.906 9.63e-05 ***
## party_fe106        0.2665022  0.1092245   2.440 0.014759 *  
## party_fe107       -0.0984480  0.1286215  -0.765 0.444101    
## party_fe108       -0.0352745  0.1031083  -0.342 0.732297    
## party_fe109        0.0003291  0.1028868   0.003 0.997448    
## party_fe110        0.0852631  0.1959557   0.435 0.663518    
## party_fe111        0.2249914  0.2310359   0.974 0.330233    
## party_fe112        0.0212190  0.1300373   0.163 0.870393    
## party_fe113        0.1494228  0.1033183   1.446 0.148237    
## party_fe114        0.1070020  0.1030930   1.038 0.299410    
## party_fe115       -0.0060613  0.2275175  -0.027 0.978748    
## party_fe116        0.0984548  0.1073882   0.917 0.359331    
## party_fe117       -0.0102265  0.1260097  -0.081 0.935324    
## party_fe118       -0.0217784  0.1036237  -0.210 0.833554    
## party_fe119       -0.0433118  0.1933505  -0.224 0.822771    
## party_fe120        0.1402277  0.1043066   1.344 0.178949    
## party_fe121        0.4296551  0.1506300   2.852 0.004375 ** 
## party_fe122       -0.0673438  0.1151159  -0.585 0.558596    
## party_fe123        0.3807452  0.1585555   2.401 0.016409 *  
## party_fe124       -0.0217833  0.1192725  -0.183 0.855099    
## party_fe125       -0.0712425  0.1000233  -0.712 0.476372    
## party_fe126        0.0188436  0.1076988   0.175 0.861121    
## party_fe127       -0.1092488  0.3107819  -0.352 0.725222    
## party_fe128       -0.0252776  0.1000197  -0.253 0.800501    
## party_fe129        0.2780276  0.1589330   1.749 0.080357 .  
## party_fe130        0.1143462  0.1003665   1.139 0.254694    
## party_fe131        0.3989218  0.1940216   2.056 0.039881 *  
## party_fe132        0.1114787  0.1002940   1.112 0.266453    
## party_fe133       -0.0455391  0.1019596  -0.447 0.655175    
## party_fe134       -0.0975255  0.1166635  -0.836 0.403261    
## party_fe135       -0.0479592  0.1910302  -0.251 0.801792    
## party_fe136       -0.0486550  0.3101273  -0.157 0.875347    
## party_fe137        0.0160250  0.0992605   0.161 0.871757    
## party_fe138        0.1837255  0.0996058   1.845 0.065226 .  
## party_fe139        0.2500368  0.1006326   2.485 0.013034 *  
## party_fe140        0.0279406  0.1090301   0.256 0.797768    
## party_fe141        0.0432927  0.1540123   0.281 0.778658    
## party_fe142       -0.1125166  0.1089771  -1.032 0.301949    
## party_fe143        0.0831201  0.1098932   0.756 0.449499    
## party_fe144        0.6452050  0.1938058   3.329 0.000884 ***
## party_fe145        0.1303370  0.1099015   1.186 0.235759    
## party_fe146        0.0599994  0.1680330   0.357 0.721070    
## party_fe147        0.0688084  0.1380219   0.499 0.618153    
## party_fe148        0.0016514  0.0940365   0.018 0.985991    
## party_fe149        0.1271287  0.1319048   0.964 0.335245    
## party_fe150        0.0774567  0.0940983   0.823 0.410504    
## party_fe151        0.3066707  0.0961216   3.190 0.001438 ** 
## party_fe152        0.1334482  0.1173247   1.137 0.255471    
## party_fe153       -0.0363874  0.1017659  -0.358 0.720703    
## party_fe154       -0.0842293  0.1220384  -0.690 0.490141    
## party_fe155        0.1221478  0.1269266   0.962 0.335968    
## party_fe156        0.0012393  0.0946086   0.013 0.989549    
## party_fe157        0.1679734  0.1010759   1.662 0.096669 .  
## party_fe158        0.1911025  0.0955217   2.001 0.045543 *  
## party_fe159        0.0361083  0.0950617   0.380 0.704097    
## party_fe160        0.1177541  0.3085360   0.382 0.702751    
## party_fe161        0.0979602  0.3085283   0.318 0.750885    
## party_fe162        0.1665410  0.3085795   0.540 0.589451    
## party_fe163        0.1839866  0.3086036   0.596 0.551103    
## party_fe164        0.0105346  0.1916657   0.055 0.956172    
## party_fe165       -0.2277171  0.1715298  -1.328 0.184445    
## party_fe166        0.2928517  0.1722105   1.701 0.089155 .  
## party_fe167        0.2872141  0.1922100   1.494 0.135232    
## party_fe168        0.2780067  0.1921629   1.447 0.148101    
## party_fe169        0.1437616  0.1715593   0.838 0.402129    
## party_fe170       -0.0876296  0.1689418  -0.519 0.604019    
## party_fe171       -0.0939498  0.1449846  -0.648 0.517046    
## party_fe172        0.0898521  0.1450876   0.619 0.535779    
## party_fe173        0.1481087  0.1469116   1.008 0.313482    
## party_fe174        0.2428751  0.1690664   1.437 0.150968    
## party_fe175        0.2580016  0.3087310   0.836 0.403414    
## party_fe176        0.3481319  0.3090699   1.126 0.260112    
## party_fe177        0.0766953  0.1917215   0.400 0.689165    
## party_fe178        0.0508839  0.1466779   0.347 0.728689    
## party_fe179       -0.3514420  0.1463969  -2.401 0.016441 *  
## party_fe180        0.3050455  0.1472285   2.072 0.038377 *  
## party_fe181        0.3417396  0.1470254   2.324 0.020187 *  
## party_fe182        0.4130853  0.2265544   1.823 0.068373 .  
## party_fe183        0.1809546  0.1687216   1.073 0.283599    
## party_fe184        0.1234666  0.1447399   0.853 0.393729    
## party_fe185       -0.0220809  0.1686062  -0.131 0.895817    
## party_fe186        0.0389392  0.1446356   0.269 0.787781    
## party_fe187        0.3501615  0.1549633   2.260 0.023930 *  
## party_fe188        0.4225209  0.1549591   2.727 0.006443 ** 
## party_fe189        0.2156907  0.3113296   0.693 0.488497    
## party_fe190        0.2411655  0.3113787   0.775 0.438704    
## party_fe191        0.1563822  0.3112519   0.502 0.615410    
## party_fe192        0.2664285  0.3114367   0.855 0.392367    
## party_fe193        0.2683388  0.3114415   0.862 0.388990    
## party_fe194        0.2924063  0.3115061   0.939 0.347984    
## party_fe195        0.1321989  0.3122087   0.423 0.672018    
## party_fe196        0.2837925  0.1511459   1.878 0.060553 .  
## party_fe197        0.2311240  0.1512949   1.528 0.126730    
## party_fe198       -0.0291657  0.2293915  -0.127 0.898837    
## party_fe199        0.1862463  0.2322291   0.802 0.422634    
## party_fe200        0.1225471  0.2319989   0.528 0.597392    
## party_fe201        0.0977764  0.3082361   0.317 0.751109    
## party_fe202        0.1246254  0.3082561   0.404 0.686033    
## party_fe203       -0.1155946  0.1444280  -0.800 0.423579    
## party_fe204        0.3302304  0.3087602   1.070 0.284933    
## party_fe205        0.2990226  0.1463662   2.043 0.041161 *  
## party_fe206       -0.0723661  0.1449879  -0.499 0.617741    
## party_fe207        0.3897107  0.1689701   2.306 0.021171 *  
## party_fe208        0.1797418  0.1450486   1.239 0.215396    
## party_fe209        0.0288236  0.1457949   0.198 0.843296    
## party_fe210        0.0809949  0.1458937   0.555 0.578833    
## party_fe211        0.4050864  0.1457973   2.778 0.005504 ** 
## party_fe212        0.0444263  0.2255145   0.197 0.843844    
## party_fe213        0.1802663  0.1459892   1.235 0.217025    
## party_fe214        0.1098670  0.1458583   0.753 0.451374    
## party_fe215        0.2367009  0.1467422   1.613 0.106864    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2971 on 2465 degrees of freedom
## Multiple R-squared:  0.9037, Adjusted R-squared:  0.8939 
## F-statistic: 91.81 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb114"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb114-1" data-line-number="1"><span class="kw">stargazer</span>(modelsi2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:04
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.spline \\ 
## \hline \\[-1.8ex] 
##  rile.y.spline\_lag &amp; 0.822$^{***}$ \\ 
##   &amp; (0.012) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.275$^{*}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.017$^{*}$ \\ 
##   &amp; (0.010) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.003$^{*}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spruled &amp; 0.005$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.073 \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.161$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.174$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.182$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.308$^{***}$ \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.338$^{***}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.269$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.136$^{**}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.025 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.075 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.035 \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.161$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.222$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.044 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.132 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.088 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.091 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.003 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.186 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.204 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.236$^{*}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.340$^{**}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.324$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.241$^{*}$ \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.289$^{**}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.098 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.140 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.517$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.419$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.337$^{**}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.361$^{**}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.326$^{**}$ \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.292$^{*}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.121 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.139 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.162 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.129 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.124 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.064 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.104 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.159 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.264$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.311$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.077 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.066 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; 0.039 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.061 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.103 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.008 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.309$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.092 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.304$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.277$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.341$^{***}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.010 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.190$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.0004 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.048 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.219 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.148 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.142 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.051 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.117 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.281$^{*}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.091 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.044 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.057 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.232$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.146 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.209 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.135 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.126 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.548$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.100 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.066 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.054 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.114 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.095 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.124 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.254$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.289 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.085 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.149 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.304$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; $-$0.003 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; $-$0.101 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.005 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.025 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.190 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.027 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.173 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.209 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.003 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.145 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.146 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.097 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.157 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.114 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.021 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.328 \\ 
##   &amp; (0.315) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.267 \\ 
##   &amp; (0.315) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.269$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.283$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.185$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.060 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.429$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.232 \\ 
##   &amp; (0.227) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.093 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.102 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.089 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.030 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.011 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; $-$0.063 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.100 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.051 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.462$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.503$^{***}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.063 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.420$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.346$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.102 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.114 \\ 
##   &amp; (0.227) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.273$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.502$^{***}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.313$^{*}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.238 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.602$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.494$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.493$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.574$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.313$^{*}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.402$^{***}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.267$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; $-$0.098 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.035 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.0003 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.085 \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.225 \\ 
##   &amp; (0.231) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.021 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.149 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.107 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.006 \\ 
##   &amp; (0.228) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.098 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.010 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.022 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.043 \\ 
##   &amp; (0.193) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.140 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; $-$0.067 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.381$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.022 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.071 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; 0.019 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.109 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.025 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.278$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.114 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.399$^{**}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.111 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.046 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.098 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.048 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.049 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.016 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.184$^{*}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.250$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.028 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.043 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.113 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.083 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.645$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.130 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.060 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.069 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.002 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.127 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.077 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.307$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.133 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.036 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.084 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.122 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.001 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.168$^{*}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.191$^{**}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.036 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.118 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.098 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.167 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.184 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.011 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.228 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.293$^{*}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.287 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.278 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.144 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; $-$0.088 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.094 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.090 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.148 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.243 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.258 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.348 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.077 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.051 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.351$^{**}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.305$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.342$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.413$^{*}$ \\ 
##   &amp; (0.227) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.181 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.123 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; $-$0.022 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.039 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.350$^{**}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.216 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.241 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.156 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.266 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.268 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.292 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.132 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.284$^{*}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.231 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.029 \\ 
##   &amp; (0.229) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.186 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.123 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.098 \\ 
##   &amp; (0.308) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.125 \\ 
##   &amp; (0.308) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.116 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.330 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.299$^{**}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.072 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.180 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.029 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.081 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.405$^{***}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.044 \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.180 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.110 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.237 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.993 \\ 
##   &amp; (0.767) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.904 \\ 
## Adjusted R$^{2}$ &amp; 0.894 \\ 
## Residual Std. Error &amp; 0.297 (df = 2465) \\ 
## F Statistic &amp; 91.808$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb116"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb116-1" data-line-number="1"><span class="co"># Model LI3 in Table S7</span></a>
<a class="sourceLine" id="cb116-2" data-line-number="2"></a>
<a class="sourceLine" id="cb116-3" data-line-number="3">modelsi3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.spline ~ spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb116-4" data-line-number="4"></a>
<a class="sourceLine" id="cb116-5" data-line-number="5">modelsi3 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelsi3, <span class="dt">data =</span> dataframe_spline)</a>
<a class="sourceLine" id="cb116-6" data-line-number="6"><span class="kw">summary</span>(modelsi3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelsi3, data = dataframe_spline)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.94791 -0.26366 -0.00171  0.24147  2.13471 
## 
## Coefficients:
##                    Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)        4.374434   0.154424  28.327  &lt; 2e-16 ***
## spsamegroup_ruled  0.005075   0.001053   4.818 1.53e-06 ***
## year_fe2           0.076275   0.105897   0.720 0.471419    
## year_fe3           0.131149   0.104964   1.249 0.211614    
## year_fe4           0.185218   0.105018   1.764 0.077909 .  
## year_fe5           0.273722   0.104797   2.612 0.009058 ** 
## year_fe6           0.365951   0.103453   3.537 0.000412 ***
## year_fe7           0.427768   0.103439   4.135 3.66e-05 ***
## year_fe8           0.481866   0.102276   4.711 2.60e-06 ***
## year_fe9           0.507182   0.101957   4.974 6.99e-07 ***
## year_fe10          0.500726   0.098083   5.105 3.56e-07 ***
## year_fe11          0.485715   0.098475   4.932 8.66e-07 ***
## year_fe12          0.415346   0.098116   4.233 2.39e-05 ***
## year_fe13          0.402758   0.099100   4.064 4.97e-05 ***
## year_fe14          0.423138   0.098037   4.316 1.65e-05 ***
## year_fe15          0.417449   0.097758   4.270 2.03e-05 ***
## year_fe16          0.345106   0.098149   3.516 0.000446 ***
## year_fe17          0.320437   0.097834   3.275 0.001070 ** 
## year_fe18          0.282417   0.098517   2.867 0.004183 ** 
## year_fe19          0.272822   0.099960   2.729 0.006392 ** 
## year_fe20          0.432877   0.095991   4.510 6.80e-06 ***
## year_fe21          0.494824   0.095472   5.183 2.36e-07 ***
## year_fe22          0.439481   0.096273   4.565 5.24e-06 ***
## year_fe23          0.293018   0.099810   2.936 0.003358 ** 
## year_fe24          0.247796   0.100022   2.477 0.013300 *  
## year_fe25          0.236174   0.100696   2.345 0.019085 *  
## year_fe26          0.217867   0.099686   2.186 0.028943 *  
## year_fe27          0.307398   0.097282   3.160 0.001598 ** 
## year_fe28          0.302514   0.096509   3.135 0.001741 ** 
## year_fe29          0.252737   0.094241   2.682 0.007371 ** 
## year_fe30          0.229819   0.094002   2.445 0.014561 *  
## year_fe31          0.163402   0.094260   1.734 0.083127 .  
## year_fe32          0.101864   0.094996   1.072 0.283695    
## year_fe33          0.091789   0.097351   0.943 0.345840    
## year_fe34          0.124205   0.096940   1.281 0.200226    
## party_fe2         -0.607807   0.186495  -3.259 0.001133 ** 
## party_fe3          0.008467   0.188252   0.045 0.964131    
## party_fe4          1.139456   0.186831   6.099 1.24e-09 ***
## party_fe5          0.940742   0.187148   5.027 5.35e-07 ***
## party_fe6          1.611004   0.187148   8.608  &lt; 2e-16 ***
## party_fe7         -0.527082   0.224508  -2.348 0.018967 *  
## party_fe8         -0.167199   0.224508  -0.745 0.456501    
## party_fe9          0.354033   0.224508   1.577 0.114940    
## party_fe10         0.571745   0.224508   2.547 0.010936 *  
## party_fe11         1.038303   0.224508   4.625 3.94e-06 ***
## party_fe12         0.457114   0.324252   1.410 0.158740    
## party_fe13        -0.346002   0.211059  -1.639 0.101265    
## party_fe14        -0.787737   0.205190  -3.839 0.000127 ***
## party_fe15        -0.385843   0.183724  -2.100 0.035820 *  
## party_fe16        -0.694429   0.158895  -4.370 1.29e-05 ***
## party_fe17        -0.019550   0.161253  -0.121 0.903514    
## party_fe18         1.567304   0.168003   9.329  &lt; 2e-16 ***
## party_fe19         0.386504   0.159024   2.430 0.015150 *  
## party_fe20         1.790117   0.159558  11.219  &lt; 2e-16 ***
## party_fe21         1.548969   0.162276   9.545  &lt; 2e-16 ***
## party_fe22         1.649261   0.159845  10.318  &lt; 2e-16 ***
## party_fe23         1.993019   0.198140  10.059  &lt; 2e-16 ***
## party_fe24        -0.210908   0.183534  -1.149 0.250606    
## party_fe25        -0.809796   0.183637  -4.410 1.08e-05 ***
## party_fe26        -0.217458   0.186426  -1.166 0.243544    
## party_fe27         0.573149   0.530792   1.080 0.280337    
## party_fe28         1.349084   0.324164   4.162 3.27e-05 ***
## party_fe29         1.030498   0.183814   5.606 2.30e-08 ***
## party_fe30         0.841622   0.184837   4.553 5.54e-06 ***
## party_fe31         0.202168   0.162842   1.241 0.214540    
## party_fe32         0.428880   0.162842   2.634 0.008498 ** 
## party_fe33         0.622266   0.247320   2.516 0.011931 *  
## party_fe34         0.037877   0.165145   0.229 0.818610    
## party_fe35        -0.190267   0.162428  -1.171 0.241555    
## party_fe36         0.221505   0.385927   0.574 0.566050    
## party_fe37         1.141443   0.159885   7.139 1.23e-12 ***
## party_fe38         1.188588   0.180479   6.586 5.51e-11 ***
## party_fe39         0.484124   0.324164   1.493 0.135446    
## party_fe40         1.234401   0.290884   4.244 2.28e-05 ***
## party_fe41         0.540386   0.324582   1.665 0.096066 .  
## party_fe42         0.027809   0.234350   0.119 0.905551    
## party_fe43         2.655033   0.324252   8.188 4.20e-16 ***
## party_fe44         0.922496   0.159581   5.781 8.37e-09 ***
## party_fe45         0.397727   0.159995   2.486 0.012989 *  
## party_fe46         0.161874   0.172802   0.937 0.348974    
## party_fe47         0.214254   0.183724   1.166 0.243659    
## party_fe48        -0.080344   0.200170  -0.401 0.688177    
## party_fe49         0.042503   0.161392   0.263 0.792303    
## party_fe50         0.256127   0.159504   1.606 0.108453    
## party_fe51         1.312457   0.159170   8.246 2.64e-16 ***
## party_fe52         0.218650   0.324090   0.675 0.499957    
## party_fe53         0.521833   0.160628   3.249 0.001175 ** 
## party_fe54         0.415405   0.290884   1.428 0.153395    
## party_fe55         1.616006   0.224067   7.212 7.29e-13 ***
## party_fe56         0.983605   0.324090   3.035 0.002431 ** 
## party_fe57         2.174362   0.288403   7.539 6.59e-14 ***
## party_fe58        -0.038466   0.289517  -0.133 0.894312    
## party_fe59        -0.417640   0.217241  -1.922 0.054661 .  
## party_fe60         0.296270   0.215763   1.373 0.169838    
## party_fe61        -0.134255   0.247405  -0.543 0.587419    
## party_fe62        -1.302772   0.182938  -7.121 1.40e-12 ***
## party_fe63        -0.912091   0.529660  -1.722 0.085189 .  
## party_fe64        -0.405774   0.161198  -2.517 0.011891 *  
## party_fe65         0.687784   0.159814   4.304 1.75e-05 ***
## party_fe66         0.274317   0.160006   1.714 0.086577 .  
## party_fe67        -0.240607   0.180930  -1.330 0.183695    
## party_fe68         0.821449   0.288638   2.846 0.004464 ** 
## party_fe69        -0.603721   0.158865  -3.800 0.000148 ***
## party_fe70        -0.211475   0.161531  -1.309 0.190591    
## party_fe71         0.945566   0.533345   1.773 0.076369 .  
## party_fe72         0.599066   0.533345   1.123 0.261452    
## party_fe73         1.500008   0.167941   8.932  &lt; 2e-16 ***
## party_fe74         1.440637   0.185639   7.760 1.23e-14 ***
## party_fe75         1.043311   0.160894   6.484 1.07e-10 ***
## party_fe76         0.441177   0.224067   1.969 0.049071 *  
## party_fe77         2.398166   0.168401  14.241  &lt; 2e-16 ***
## party_fe78         1.701569   0.386076   4.407 1.09e-05 ***
## party_fe79         0.498307   0.190583   2.615 0.008986 ** 
## party_fe80         0.514155   0.288340   1.783 0.074684 .  
## party_fe81         0.186262   0.211059   0.883 0.377586    
## party_fe82        -0.278706   0.225691  -1.235 0.216984    
## party_fe83        -0.396073   0.186721  -2.121 0.034004 *  
## party_fe84         0.300622   0.247238   1.216 0.224130    
## party_fe85         0.643276   0.163263   3.940 8.37e-05 ***
## party_fe86         0.165214   0.529347   0.312 0.754984    
## party_fe87         2.264089   0.169338  13.370  &lt; 2e-16 ***
## party_fe88         0.747735   0.178692   4.184 2.96e-05 ***
## party_fe89         2.345021   0.288480   8.129 6.78e-16 ***
## party_fe90         0.310827   0.247295   1.257 0.208905    
## party_fe91         0.946610   0.182938   5.174 2.47e-07 ***
## party_fe92         1.646942   0.182938   9.003  &lt; 2e-16 ***
## party_fe93         1.327327   0.182938   7.256 5.33e-13 ***
## party_fe94         0.514155   0.288340   1.783 0.074684 .  
## party_fe95         1.041633   0.386076   2.698 0.007023 ** 
## party_fe96         1.032905   0.170825   6.047 1.70e-09 ***
## party_fe97         2.195100   0.288953   7.597 4.28e-14 ***
## party_fe98         1.696017   0.288340   5.882 4.60e-09 ***
## party_fe99         1.342715   0.531068   2.528 0.011523 *  
## party_fe100        2.069855   0.247588   8.360  &lt; 2e-16 ***
## party_fe101        0.488230   0.288403   1.693 0.090606 .  
## party_fe102        2.316290   0.194337  11.919  &lt; 2e-16 ***
## party_fe103        2.163180   0.247295   8.747  &lt; 2e-16 ***
## party_fe104        1.696017   0.288340   5.882 4.60e-09 ***
## party_fe105        1.723012   0.161354  10.678  &lt; 2e-16 ***
## party_fe106        1.632020   0.178622   9.137  &lt; 2e-16 ***
## party_fe107        0.427956   0.215761   1.983 0.047426 *  
## party_fe108       -0.383441   0.167099  -2.295 0.021834 *  
## party_fe109       -0.112401   0.169541  -0.663 0.507409    
## party_fe110        0.729403   0.325608   2.240 0.025171 *  
## party_fe111        0.746135   0.387381   1.926 0.054206 .  
## party_fe112       -0.011818   0.211840  -0.056 0.955514    
## party_fe113        0.785477   0.169034   4.647 3.55e-06 ***
## party_fe114        0.596138   0.167768   3.553 0.000387 ***
## party_fe115       -0.043837   0.385723  -0.114 0.909526    
## party_fe116        0.404706   0.173206   2.337 0.019542 *  
## party_fe117        0.149888   0.203355   0.737 0.461146    
## party_fe118       -0.263474   0.167061  -1.577 0.114898    
## party_fe119       -0.064181   0.324207  -0.198 0.843091    
## party_fe120        1.228013   0.165536   7.418 1.62e-13 ***
## party_fe121        1.372115   0.247691   5.540 3.35e-08 ***
## party_fe122        0.588478   0.194080   3.032 0.002453 ** 
## party_fe123        1.231916   0.265994   4.631 3.82e-06 ***
## party_fe124       -0.246186   0.203092  -1.212 0.225557    
## party_fe125        0.062415   0.167086   0.374 0.708771    
## party_fe126       -0.107872   0.181204  -0.595 0.551694    
## party_fe127       -0.742807   0.531303  -1.398 0.162213    
## party_fe128       -0.013848   0.169621  -0.082 0.934939    
## party_fe129        1.483601   0.265994   5.578 2.70e-08 ***
## party_fe130        0.769310   0.168867   4.556 5.47e-06 ***
## party_fe131        2.164944   0.325551   6.650 3.59e-11 ***
## party_fe132        0.839954   0.167121   5.026 5.37e-07 ***
## party_fe133       -0.122033   0.164815  -0.740 0.459114    
## party_fe134       -0.612175   0.190281  -3.217 0.001311 ** 
## party_fe135       -0.490069   0.324031  -1.512 0.130557    
## party_fe136       -0.100679   0.529660  -0.190 0.849260    
## party_fe137        0.091327   0.161245   0.566 0.571182    
## party_fe138        0.911518   0.159490   5.715 1.23e-08 ***
## party_fe139        1.525205   0.159883   9.540  &lt; 2e-16 ***
## party_fe140        0.491947   0.186408   2.639 0.008365 ** 
## party_fe141       -0.112423   0.264491  -0.425 0.670836    
## party_fe142        0.116792   0.189552   0.616 0.537854    
## party_fe143        1.197913   0.186633   6.419 1.64e-10 ***
## party_fe144        3.581603   0.324164  11.049  &lt; 2e-16 ***
## party_fe145        1.102283   0.187626   5.875 4.80e-09 ***
## party_fe146        0.613947   0.288403   2.129 0.033371 *  
## party_fe147        0.473196   0.234517   2.018 0.043726 *  
## party_fe148       -0.088811   0.161332  -0.550 0.582035    
## party_fe149        0.423794   0.225691   1.878 0.060532 .  
## party_fe150        0.486673   0.158863   3.063 0.002211 ** 
## party_fe151        1.733927   0.160001  10.837  &lt; 2e-16 ***
## party_fe152        0.856655   0.198343   4.319 1.63e-05 ***
## party_fe153       -0.079214   0.172834  -0.458 0.646760    
## party_fe154       -0.830094   0.204744  -4.054 5.18e-05 ***
## party_fe155        0.019884   0.216132   0.092 0.926704    
## party_fe156       -0.186621   0.161487  -1.156 0.247939    
## party_fe157        0.882637   0.170047   5.191 2.27e-07 ***
## party_fe158        0.854170   0.159574   5.353 9.46e-08 ***
## party_fe159        0.497713   0.158878   3.133 0.001753 ** 
## party_fe160        0.199673   0.529345   0.377 0.706052    
## party_fe161        0.088646   0.529345   0.167 0.867018    
## party_fe162        0.473327   0.529345   0.894 0.371315    
## party_fe163        0.571183   0.529345   1.079 0.280677    
## party_fe164       -0.066078   0.324031  -0.204 0.838429    
## party_fe165       -0.088005   0.288233  -0.305 0.760143    
## party_fe166        1.527616   0.288233   5.300 1.26e-07 ***
## party_fe167        1.485868   0.324031   4.586 4.75e-06 ***
## party_fe168        1.434222   0.324031   4.426 1.00e-05 ***
## party_fe169        0.553397   0.288233   1.920 0.054978 .  
## party_fe170        0.550489   0.288403   1.909 0.056410 .  
## party_fe171       -0.137511   0.247405  -0.556 0.578388    
## party_fe172        0.342621   0.247508   1.384 0.166398    
## party_fe173        1.729322   0.247352   6.991 3.49e-12 ***
## party_fe174        0.954137   0.288291   3.310 0.000948 ***
## party_fe175        1.245757   0.529345   2.353 0.018681 *  
## party_fe176        1.751315   0.529345   3.308 0.000952 ***
## party_fe177        0.365068   0.324252   1.126 0.260327    
## party_fe178        0.516079   0.247548   2.085 0.037193 *  
## party_fe179       -0.122170   0.247405  -0.494 0.621487    
## party_fe180        1.202100   0.247325   4.860 1.24e-06 ***
## party_fe181        1.169642   0.247405   4.728 2.40e-06 ***
## party_fe182        1.985352   0.385723   5.147 2.85e-07 ***
## party_fe183        0.540664   0.288403   1.875 0.060954 .  
## party_fe184        0.657542   0.247469   2.657 0.007933 ** 
## party_fe185        0.036052   0.288403   0.125 0.900528    
## party_fe186        0.544312   0.247405   2.200 0.027893 *  
## party_fe187        1.390268   0.264496   5.256 1.60e-07 ***
## party_fe188        1.459811   0.264496   5.519 3.76e-08 ***
## party_fe189        0.802516   0.529345   1.516 0.129634    
## party_fe190        0.945409   0.529345   1.786 0.074222 .  
## party_fe191        0.469844   0.529345   0.888 0.374846    
## party_fe192        1.087114   0.529345   2.054 0.040110 *  
## party_fe193        1.097829   0.529345   2.074 0.038189 *  
## party_fe194        1.232829   0.529345   2.329 0.019941 *  
## party_fe195        0.869277   0.529318   1.642 0.100664    
## party_fe196        1.129645   0.247293   4.568 5.17e-06 ***
## party_fe197        1.272940   0.247372   5.146 2.87e-07 ***
## party_fe198        1.259288   0.385723   3.265 0.001111 ** 
## party_fe199        1.415049   0.386711   3.659 0.000258 ***
## party_fe200        1.240319   0.386076   3.213 0.001332 ** 
## party_fe201        0.400801   0.529345   0.757 0.449024    
## party_fe202        0.551400   0.529345   1.042 0.297669    
## party_fe203       -0.009201   0.247512  -0.037 0.970351    
## party_fe204        1.704677   0.529345   3.220 0.001297 ** 
## party_fe205        1.952872   0.247282   7.897 4.25e-15 ***
## party_fe206        0.832653   0.247282   3.367 0.000771 ***
## party_fe207        1.474541   0.288403   5.113 3.42e-07 ***
## party_fe208        1.167755   0.247405   4.720 2.49e-06 ***
## party_fe209        0.535630   0.247405   2.165 0.030484 *  
## party_fe210        0.740740   0.247405   2.994 0.002780 ** 
## party_fe211        0.846858   0.247370   3.423 0.000628 ***
## party_fe212        0.457769   0.386076   1.186 0.235856    
## party_fe213        0.953680   0.247405   3.855 0.000119 ***
## party_fe214        0.720580   0.247405   2.913 0.003617 ** 
## party_fe215        1.575130   0.247405   6.367 2.30e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.5105 on 2469 degrees of freedom
## Multiple R-squared:  0.7152, Adjusted R-squared:  0.6866 
## F-statistic:    25 on 248 and 2469 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb118"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb118-1" data-line-number="1"><span class="kw">stargazer</span>(modelsi3)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:04
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.spline \\ 
## \hline \\[-1.8ex] 
##  spsamegroup\_ruled &amp; 0.005$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.076 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.131 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.185$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.274$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.366$^{***}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.428$^{***}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.482$^{***}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.507$^{***}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.501$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.403$^{***}$ \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.423$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.417$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.345$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.320$^{***}$ \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.282$^{***}$ \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.273$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.433$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.439$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.236$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.218$^{**}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.307$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.303$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.253$^{***}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.230$^{**}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.163$^{*}$ \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.102 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.092 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.124 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.608$^{***}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.008 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 1.139$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.941$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 1.611$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.527$^{**}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.167 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.354 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.572$^{**}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 1.038$^{***}$ \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.457 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.346 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.788$^{***}$ \\ 
##   &amp; (0.205) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.386$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.694$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.020 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 1.567$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.387$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 1.790$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 1.549$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 1.649$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 1.993$^{***}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.211 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.810$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.217 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.573 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 1.349$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 1.030$^{***}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.842$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.202 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.429$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.622$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.038 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.190 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.222 \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 1.141$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 1.189$^{***}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.484 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 1.234$^{***}$ \\ 
##   &amp; (0.291) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.540$^{*}$ \\ 
##   &amp; (0.325) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.028 \\ 
##   &amp; (0.234) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 2.655$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.922$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.398$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.162 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.214 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.080 \\ 
##   &amp; (0.200) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.043 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.256 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 1.312$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.219 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.522$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.415 \\ 
##   &amp; (0.291) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 1.616$^{***}$ \\ 
##   &amp; (0.224) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.984$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 2.174$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; $-$0.038 \\ 
##   &amp; (0.290) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.418$^{*}$ \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.296 \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; $-$0.134 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$1.303$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.912$^{*}$ \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.406$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.688$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.274$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.241 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.821$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.604$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.211 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.946$^{*}$ \\ 
##   &amp; (0.533) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.599 \\ 
##   &amp; (0.533) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 1.500$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 1.441$^{***}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 1.043$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.441$^{**}$ \\ 
##   &amp; (0.224) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 2.398$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 1.702$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.498$^{***}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.514$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.186 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.279 \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.396$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.301 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.643$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.165 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 2.264$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.748$^{***}$ \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 2.345$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.311 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.947$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 1.647$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 1.327$^{***}$ \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.514$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 1.042$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 1.033$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 2.195$^{***}$ \\ 
##   &amp; (0.289) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 1.696$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 1.343$^{**}$ \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 2.070$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 0.488$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 2.316$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 2.163$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 1.696$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 1.723$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 1.632$^{***}$ \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.428$^{**}$ \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.383$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.112 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.729$^{**}$ \\ 
##   &amp; (0.326) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.746$^{*}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.012 \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.785$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.596$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; $-$0.044 \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.405$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.150 \\ 
##   &amp; (0.203) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.263 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.064 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 1.228$^{***}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 1.372$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.588$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 1.232$^{***}$ \\ 
##   &amp; (0.266) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.246 \\ 
##   &amp; (0.203) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.062 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.108 \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.743 \\ 
##   &amp; (0.531) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.014 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 1.484$^{***}$ \\ 
##   &amp; (0.266) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.769$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 2.165$^{***}$ \\ 
##   &amp; (0.326) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.840$^{***}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.122 \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.612$^{***}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.490 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.101 \\ 
##   &amp; (0.530) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.091 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.912$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 1.525$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.492$^{***}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.112 \\ 
##   &amp; (0.264) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.117 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 1.198$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 3.582$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 1.102$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.614$^{**}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.235) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.089 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.424$^{*}$ \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.487$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 1.734$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.857$^{***}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.079 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.830$^{***}$ \\ 
##   &amp; (0.205) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.020 \\ 
##   &amp; (0.216) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.187 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.883$^{***}$ \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.854$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.498$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.200 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.089 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.473 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.571 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.066 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.088 \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 1.528$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 1.486$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 1.434$^{***}$ \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.553$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.550$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.138 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.343 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 1.729$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.954$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 1.246$^{**}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 1.751$^{***}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.365 \\ 
##   &amp; (0.324) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.516$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.122 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 1.202$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 1.170$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 1.985$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.541$^{*}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.658$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.036 \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.544$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 1.390$^{***}$ \\ 
##   &amp; (0.264) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 1.460$^{***}$ \\ 
##   &amp; (0.264) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.803 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.945$^{*}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.470 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 1.087$^{**}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 1.098$^{**}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 1.233$^{**}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.869 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 1.130$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 1.273$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 1.259$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 1.415$^{***}$ \\ 
##   &amp; (0.387) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 1.240$^{***}$ \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.401 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.551 \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.009 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 1.705$^{***}$ \\ 
##   &amp; (0.529) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 1.953$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.833$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 1.475$^{***}$ \\ 
##   &amp; (0.288) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 1.168$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.536$^{**}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.741$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.847$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.458 \\ 
##   &amp; (0.386) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.954$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.721$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 1.575$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  Constant &amp; 4.374$^{***}$ \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.715 \\ 
## Adjusted R$^{2}$ &amp; 0.687 \\ 
## Residual Std. Error &amp; 0.511 (df = 2469) \\ 
## F Statistic &amp; 25.001$^{***}$ (df = 248; 2469) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb120"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb120-1" data-line-number="1"><span class="co"># Model LI4 in Table S7</span></a>
<a class="sourceLine" id="cb120-2" data-line-number="2"></a>
<a class="sourceLine" id="cb120-3" data-line-number="3">modelsi4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile.y.spline ~ rile.y.spline_lag + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb120-4" data-line-number="4"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb120-5" data-line-number="5"></a>
<a class="sourceLine" id="cb120-6" data-line-number="6">modelsi4 &lt;-<span class="st"> </span><span class="kw">lm</span>(modelsi4, <span class="dt">data =</span> dataframe_spline)</a>
<a class="sourceLine" id="cb120-7" data-line-number="7"><span class="kw">summary</span>(modelsi4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = modelsi4, data = dataframe_spline)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5513 -0.1040  0.0000  0.1142  1.9182 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -0.4052748  0.7525680  -0.539 0.590265    
## rile.y.spline_lag  0.8220451  0.0120611  68.157  &lt; 2e-16 ***
## lag_cmedian        0.2093768  0.1453143   1.441 0.149753    
## lag_econ_glob      0.0123844  0.0103429   1.197 0.231274    
## interaction       -0.0024684  0.0019418  -1.271 0.203766    
## spsamegroup_ruled  0.0013920  0.0006197   2.246 0.024782 *  
## year_fe2           0.0882770  0.0618418   1.427 0.153573    
## year_fe3           0.1438414  0.0612778   2.347 0.018985 *  
## year_fe4           0.1884676  0.0616526   3.057 0.002260 ** 
## year_fe5           0.2167848  0.0617251   3.512 0.000453 ***
## year_fe6           0.2526296  0.0617467   4.091 4.43e-05 ***
## year_fe7           0.2598342  0.0619549   4.194 2.84e-05 ***
## year_fe8           0.2605452  0.0611990   4.257 2.15e-05 ***
## year_fe9           0.2478379  0.0617952   4.011 6.24e-05 ***
## year_fe10          0.1721869  0.0598361   2.878 0.004041 ** 
## year_fe11          0.2090315  0.0595466   3.510 0.000455 ***
## year_fe12          0.1381343  0.0592989   2.329 0.019915 *  
## year_fe13          0.2044505  0.0599888   3.408 0.000665 ***
## year_fe14          0.2274166  0.0613469   3.707 0.000214 ***
## year_fe15          0.2239385  0.0623280   3.593 0.000333 ***
## year_fe16          0.1727412  0.0636627   2.713 0.006706 ** 
## year_fe17          0.1876244  0.0638490   2.939 0.003328 ** 
## year_fe18          0.1774521  0.0657976   2.697 0.007046 ** 
## year_fe19          0.1967823  0.0671998   2.928 0.003439 ** 
## year_fe20          0.2203593  0.0659241   3.343 0.000842 ***
## year_fe21          0.2285119  0.0677603   3.372 0.000757 ***
## year_fe22          0.1759078  0.0709779   2.478 0.013266 *  
## year_fe23          0.1251569  0.0751188   1.666 0.095817 .  
## year_fe24          0.1463242  0.0758507   1.929 0.053832 .  
## year_fe25          0.1712820  0.0799766   2.142 0.032319 *  
## year_fe26          0.1593793  0.0782319   2.037 0.041730 *  
## year_fe27          0.2097442  0.0752557   2.787 0.005359 ** 
## year_fe28          0.1935956  0.0752260   2.574 0.010125 *  
## year_fe29          0.1360163  0.0754458   1.803 0.071536 .  
## year_fe30          0.1621750  0.0727087   2.230 0.025805 *  
## year_fe31          0.1131703  0.0745510   1.518 0.129136    
## year_fe32          0.1325747  0.0760659   1.743 0.081477 .  
## year_fe33          0.1824596  0.0745553   2.447 0.014462 *  
## year_fe34          0.2031005  0.0735598   2.761 0.005805 ** 
## party_fe2         -0.1133464  0.1090201  -1.040 0.298589    
## party_fe3         -0.1739108  0.1098465  -1.583 0.113500    
## party_fe4          0.1447488  0.1099499   1.316 0.188129    
## party_fe5          0.1061975  0.1098481   0.967 0.333755    
## party_fe6          0.1014559  0.1113882   0.911 0.362473    
## party_fe7         -0.0449122  0.1320219  -0.340 0.733744    
## party_fe8          0.1233923  0.1318743   0.936 0.349529    
## party_fe9          0.1781818  0.1317651   1.352 0.176414    
## party_fe10         0.2831489  0.1317921   2.148 0.031775 *  
## party_fe11         0.3291415  0.1320755   2.492 0.012765 *  
## party_fe12         0.0636566  0.1894244   0.336 0.736860    
## party_fe13        -0.1170942  0.1238376  -0.946 0.344473    
## party_fe14        -0.0171030  0.1210252  -0.141 0.887630    
## party_fe15        -0.0746833  0.1077931  -0.693 0.488476    
## party_fe16        -0.1402382  0.0933374  -1.502 0.133099    
## party_fe17        -0.0624008  0.0943193  -0.662 0.508295    
## party_fe18         0.2638072  0.0999540   2.639 0.008360 ** 
## party_fe19         0.0487667  0.0931329   0.524 0.600587    
## party_fe20         0.2501233  0.0959357   2.607 0.009184 ** 
## party_fe21         0.2408044  0.0967389   2.489 0.012868 *  
## party_fe22         0.2835859  0.0955398   2.968 0.003024 ** 
## party_fe23         0.3884569  0.1187265   3.272 0.001083 ** 
## party_fe24         0.0066712  0.1086649   0.061 0.951051    
## party_fe25        -0.1873664  0.1090605  -1.718 0.085921 .  
## party_fe26        -0.0508128  0.1102496  -0.461 0.644919    
## party_fe27         0.0869363  0.3110404   0.280 0.779883    
## party_fe28         0.2361695  0.1910929   1.236 0.216618    
## party_fe29         0.1270828  0.1095805   1.160 0.246275    
## party_fe30         0.1055999  0.1098742   0.961 0.336597    
## party_fe31         0.0163907  0.0965006   0.170 0.865141    
## party_fe32         0.0822698  0.0966198   0.851 0.394586    
## party_fe33         0.2476623  0.1449800   1.708 0.087716 .  
## party_fe34         0.0354989  0.0981773   0.362 0.717698    
## party_fe35        -0.1075882  0.0963854  -1.116 0.264433    
## party_fe36         0.0329360  0.2254670   0.146 0.883871    
## party_fe37         0.1940921  0.0960641   2.020 0.043445 *  
## party_fe38         0.2082256  0.1086211   1.917 0.055355 .  
## party_fe39         0.0975963  0.1898229   0.514 0.607197    
## party_fe40         0.2057311  0.1717684   1.198 0.231140    
## party_fe41         0.1149831  0.1899494   0.605 0.545012    
## party_fe42         0.1042158  0.1374031   0.758 0.448244    
## party_fe43         0.5469059  0.1920642   2.848 0.004443 ** 
## party_fe44         0.1857283  0.0954341   1.946 0.051751 .  
## party_fe45         0.0485737  0.0951712   0.510 0.609829    
## party_fe46         0.0625986  0.1020753   0.613 0.539762    
## party_fe47         0.0648954  0.1082369   0.600 0.548849    
## party_fe48         0.0881953  0.1189283   0.742 0.458410    
## party_fe49         0.0499348  0.0961526   0.519 0.603578    
## party_fe50         0.0969312  0.0950004   1.020 0.307675    
## party_fe51         0.2333395  0.0960965   2.428 0.015246 *  
## party_fe52        -0.2471355  0.1894992  -1.304 0.192304    
## party_fe53         0.0537247  0.0959813   0.560 0.575707    
## party_fe54         0.1017290  0.1704534   0.597 0.550686    
## party_fe55         0.3292510  0.1326895   2.481 0.013154 *  
## party_fe56         0.0391379  0.1899003   0.206 0.836732    
## party_fe57        -0.0858578  0.1719491  -0.499 0.617598    
## party_fe58        -0.0042308  0.1730133  -0.024 0.980493    
## party_fe59         0.0038446  0.1330102   0.029 0.976943    
## party_fe60         0.1987008  0.1291196   1.539 0.123960    
## party_fe61         0.0190265  0.1450761   0.131 0.895668    
## party_fe62        -0.2056495  0.1160985  -1.771 0.076628 .  
## party_fe63        -0.2069512  0.3095512  -0.669 0.503844    
## party_fe64        -0.0528733  0.1000680  -0.528 0.597287    
## party_fe65         0.1078840  0.0996623   1.082 0.279138    
## party_fe66         0.1068436  0.0993382   1.076 0.282232    
## party_fe67        -0.0907161  0.1126026  -0.806 0.420534    
## party_fe68         0.1935826  0.1741781   1.111 0.266502    
## party_fe69        -0.1106801  0.1024553  -1.080 0.280125    
## party_fe70        -0.0139938  0.1029271  -0.136 0.891865    
## party_fe71         0.3171921  0.3157316   1.005 0.315176    
## party_fe72         0.2555311  0.3156528   0.810 0.418287    
## party_fe73         0.2750675  0.1090784   2.522 0.011740 *  
## party_fe74         0.2724825  0.1189241   2.291 0.022034 *  
## party_fe75         0.1707112  0.1031087   1.656 0.097922 .  
## party_fe76         0.0569333  0.1353562   0.421 0.674071    
## party_fe77         0.4438879  0.1094718   4.055 5.17e-05 ***
## party_fe78         0.2539300  0.2282490   1.113 0.266026    
## party_fe79         0.0613833  0.1160458   0.529 0.596882    
## party_fe80         0.0981687  0.1706993   0.575 0.565278    
## party_fe81         0.0765837  0.1337461   0.573 0.566964    
## party_fe82        -0.0219088  0.1396657  -0.157 0.875363    
## party_fe83        -0.0344260  0.1125638  -0.306 0.759756    
## party_fe84        -0.0565229  0.1469451  -0.385 0.700527    
## party_fe85         0.0811236  0.1029553   0.788 0.430802    
## party_fe86         0.0801745  0.3100228   0.259 0.795959    
## party_fe87         0.4373114  0.1102004   3.968 7.44e-05 ***
## party_fe88         0.2069322  0.1139916   1.815 0.069595 .  
## party_fe89         0.4463339  0.1721006   2.593 0.009558 ** 
## party_fe90        -0.0537239  0.1470015  -0.365 0.714795    
## party_fe91         0.2263206  0.1174965   1.926 0.054196 .  
## party_fe92         0.4026495  0.1184587   3.399 0.000687 ***
## party_fe93         0.3287856  0.1179460   2.788 0.005351 ** 
## party_fe94         0.0981687  0.1706993   0.575 0.565278    
## party_fe95         0.1364913  0.2277222   0.599 0.548977    
## party_fe96         0.2232417  0.1079695   2.068 0.038778 *  
## party_fe97         0.4056877  0.1719199   2.360 0.018365 *  
## party_fe98         0.3084867  0.1716267   1.797 0.072390 .  
## party_fe99         0.2238250  0.3114273   0.719 0.472390    
## party_fe100        0.5544620  0.1481302   3.743 0.000186 ***
## party_fe101       -0.4729516  0.1712859  -2.761 0.005802 ** 
## party_fe102        0.4444775  0.1189927   3.735 0.000192 ***
## party_fe103        0.5827129  0.1484787   3.925 8.93e-05 ***
## party_fe104        0.3084867  0.1716267   1.797 0.072390 .  
## party_fe105        0.3846995  0.1030687   3.732 0.000194 ***
## party_fe106        0.2468296  0.1093380   2.257 0.024065 *  
## party_fe107       -0.0859912  0.1291512  -0.666 0.505590    
## party_fe108       -0.0193171  0.1034142  -0.187 0.851838    
## party_fe109       -0.0254288  0.1040544  -0.244 0.806957    
## party_fe110        0.0735183  0.1963827   0.374 0.708167    
## party_fe111        0.2083839  0.2315256   0.900 0.368183    
## party_fe112       -0.0094977  0.1308212  -0.073 0.942130    
## party_fe113        0.1275421  0.1041537   1.225 0.220860    
## party_fe114        0.0989941  0.1034618   0.957 0.338753    
## party_fe115        0.0082444  0.2281104   0.036 0.971172    
## party_fe116        0.1087698  0.1076664   1.010 0.312475    
## party_fe117        0.0296232  0.1261954   0.235 0.814429    
## party_fe118       -0.0413204  0.1045972  -0.395 0.692845    
## party_fe119        0.0105489  0.1936706   0.054 0.956566    
## party_fe120        0.1376317  0.1045907   1.316 0.188327    
## party_fe121        0.4629235  0.1510974   3.064 0.002210 ** 
## party_fe122       -0.0531787  0.1154170  -0.461 0.645016    
## party_fe123        0.3676349  0.1589111   2.313 0.020779 *  
## party_fe124        0.0140668  0.1196288   0.118 0.906404    
## party_fe125       -0.0533512  0.1002535  -0.532 0.594661    
## party_fe126        0.0501417  0.1079715   0.464 0.642404    
## party_fe127       -0.1009434  0.3115022  -0.324 0.745925    
## party_fe128       -0.0483328  0.1013873  -0.477 0.633608    
## party_fe129        0.2647775  0.1592814   1.662 0.096575 .  
## party_fe130        0.0973189  0.1012635   0.961 0.336623    
## party_fe131        0.3776037  0.1944013   1.942 0.052203 .  
## party_fe132        0.1319090  0.1006115   1.311 0.189955    
## party_fe133       -0.0595975  0.1021136  -0.584 0.559516    
## party_fe134       -0.1014412  0.1169631  -0.867 0.385866    
## party_fe135       -0.0564405  0.1914784  -0.295 0.768201    
## party_fe136       -0.0618528  0.3108725  -0.199 0.842306    
## party_fe137       -0.0357207  0.1002670  -0.356 0.721679    
## party_fe138        0.1495647  0.0997893   1.499 0.134052    
## party_fe139        0.2105002  0.1008798   2.087 0.037023 *  
## party_fe140        0.0146471  0.1092186   0.134 0.893328    
## party_fe141        0.0333322  0.1543688   0.216 0.829063    
## party_fe142       -0.1712173  0.1108215  -1.545 0.122479    
## party_fe143        0.0817006  0.1103055   0.741 0.458961    
## party_fe144        0.6399752  0.1943037   3.294 0.001003 ** 
## party_fe145        0.0886008  0.1105743   0.801 0.423048    
## party_fe146        0.0591953  0.1684965   0.351 0.725382    
## party_fe147        0.0999427  0.1386390   0.721 0.471049    
## party_fe148       -0.0304696  0.0955253  -0.319 0.749777    
## party_fe149        0.1117384  0.1322588   0.845 0.398279    
## party_fe150        0.0824966  0.0943283   0.875 0.381894    
## party_fe151        0.2859453  0.0967033   2.957 0.003137 ** 
## party_fe152        0.1570367  0.1177884   1.333 0.182586    
## party_fe153       -0.0392138  0.1019991  -0.384 0.700677    
## party_fe154       -0.0946154  0.1225187  -0.772 0.440039    
## party_fe155        0.1408912  0.1272150   1.108 0.268184    
## party_fe156       -0.0464041  0.0966017  -0.480 0.631010    
## party_fe157        0.1434846  0.1014812   1.414 0.157517    
## party_fe158        0.1615792  0.0961688   1.680 0.093052 .  
## party_fe159        0.0237289  0.0952846   0.249 0.803357    
## party_fe160        0.0800449  0.3090649   0.259 0.795664    
## party_fe161        0.0602869  0.3090585   0.195 0.845357    
## party_fe162        0.1287430  0.3091056   0.417 0.677079    
## party_fe163        0.1461569  0.3091287   0.473 0.636396    
## party_fe164        0.0216629  0.1922054   0.113 0.910272    
## party_fe165       -0.2163154  0.1720489  -1.257 0.208768    
## party_fe166        0.3038213  0.1727824   1.758 0.078803 .  
## party_fe167        0.2978392  0.1928027   1.545 0.122526    
## party_fe168        0.2886485  0.1927536   1.497 0.134391    
## party_fe169        0.1550567  0.1720906   0.901 0.367667    
## party_fe170       -0.1023590  0.1693024  -0.605 0.545505    
## party_fe171       -0.1011652  0.1453336  -0.696 0.486438    
## party_fe172        0.0581771  0.1454490   0.400 0.689204    
## party_fe173        0.1377300  0.1472540   0.935 0.349714    
## party_fe174        0.2115878  0.1693051   1.250 0.211512    
## party_fe175        0.2651803  0.3094877   0.857 0.391619    
## party_fe176        0.3551467  0.3098352   1.146 0.251805    
## party_fe177        0.0550978  0.1920667   0.287 0.774237    
## party_fe178        0.0014926  0.1468938   0.010 0.991893    
## party_fe179       -0.3752260  0.1465677  -2.560 0.010524 *  
## party_fe180        0.2645538  0.1473039   1.796 0.072621 .  
## party_fe181        0.3177194  0.1471960   2.158 0.030987 *  
## party_fe182        0.3885375  0.2269640   1.712 0.087043 .  
## party_fe183        0.1710445  0.1691141   1.011 0.311917    
## party_fe184        0.0888706  0.1450454   0.613 0.540125    
## party_fe185       -0.0318720  0.1689940  -0.189 0.850423    
## party_fe186        0.0274063  0.1449509   0.189 0.850051    
## party_fe187        0.3350479  0.1552730   2.158 0.031040 *  
## party_fe188        0.4074083  0.1552687   2.624 0.008747 ** 
## party_fe189        0.1697381  0.3117692   0.544 0.586191    
## party_fe190        0.1951665  0.3118168   0.626 0.531438    
## party_fe191        0.1105374  0.3116953   0.355 0.722895    
## party_fe192        0.2203836  0.3118734   0.707 0.479854    
## party_fe193        0.2222904  0.3118780   0.713 0.476069    
## party_fe194        0.2463142  0.3119413   0.790 0.429827    
## party_fe195        0.1430425  0.3130072   0.457 0.647716    
## party_fe196        0.2856592  0.1515074   1.885 0.059487 .  
## party_fe197        0.2449176  0.1518258   1.613 0.106840    
## party_fe198       -0.0067291  0.2300401  -0.029 0.976666    
## party_fe199        0.1578386  0.2330302   0.677 0.498260    
## party_fe200        0.1443281  0.2327890   0.620 0.535318    
## party_fe201        0.1134657  0.3089792   0.367 0.713481    
## party_fe202        0.1402659  0.3090020   0.454 0.649918    
## party_fe203       -0.1579217  0.1446719  -1.092 0.275122    
## party_fe204        0.3454969  0.3095296   1.116 0.264445    
## party_fe205        0.2702800  0.1464779   1.845 0.065129 .  
## party_fe206       -0.1008132  0.1451134  -0.695 0.487296    
## party_fe207        0.3644649  0.1692077   2.154 0.031341 *  
## party_fe208        0.1615306  0.1453055   1.112 0.266392    
## party_fe209        0.0282808  0.1462431   0.193 0.846676    
## party_fe210        0.0803918  0.1463480   0.549 0.582836    
## party_fe211        0.3854880  0.1460903   2.639 0.008375 ** 
## party_fe212        0.0418331  0.2261580   0.185 0.853266    
## party_fe213        0.1796183  0.1464482   1.226 0.220129    
## party_fe214        0.1092832  0.1463106   0.747 0.455179    
## party_fe215        0.2358300  0.1472260   1.602 0.109323    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2978 on 2465 degrees of freedom
## Multiple R-squared:  0.9033, Adjusted R-squared:  0.8934 
## F-statistic: 91.34 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb122"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb122-1" data-line-number="1"><span class="kw">stargazer</span>(modelsi4)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:05
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile.y.spline \\ 
## \hline \\[-1.8ex] 
##  rile.y.spline\_lag &amp; 0.822$^{***}$ \\ 
##   &amp; (0.012) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.209 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.012 \\ 
##   &amp; (0.010) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.002 \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.001$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.088 \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.188$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.217$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.253$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.260$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.261$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.248$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.172$^{***}$ \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.209$^{***}$ \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.204$^{***}$ \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.227$^{***}$ \\ 
##   &amp; (0.061) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.224$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.173$^{***}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.188$^{***}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.177$^{***}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.197$^{***}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.220$^{***}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.229$^{***}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.176$^{**}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.125$^{*}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.146$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.171$^{**}$ \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.159$^{**}$ \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.210$^{***}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.194$^{**}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.136$^{*}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.162$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.113 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.133$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.182$^{**}$ \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.203$^{***}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.113 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.174 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.145 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.106 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.101 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.045 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.123 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.178 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.283$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.329$^{**}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.064 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.117 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.017 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.075 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.140 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.062 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.264$^{***}$ \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.049 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.250$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.241$^{**}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.284$^{***}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.388$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.007 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.187$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.051 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.087 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.236 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.127 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.106 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.016 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.082 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.248$^{*}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.035 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.108 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.033 \\ 
##   &amp; (0.225) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.194$^{**}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.208$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.098 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.206 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.115 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.104 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.547$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.186$^{*}$ \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.049 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.063 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.065 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.050 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.097 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.247 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.054 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.102 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.329$^{**}$ \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.039 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; $-$0.086 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; $-$0.004 \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.004 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.199 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.019 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.206$^{*}$ \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.207 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.053 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.108 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.107 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.091 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.194 \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.111 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.014 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.317 \\ 
##   &amp; (0.316) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.256 \\ 
##   &amp; (0.316) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.272$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.171$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.057 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.444$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.254 \\ 
##   &amp; (0.228) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.061 \\ 
##   &amp; (0.116) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.098 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.077 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.022 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.034 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; $-$0.057 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.081 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.080 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.437$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.207$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.446$^{***}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.054 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.226$^{*}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.403$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.329$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.098 \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.136 \\ 
##   &amp; (0.228) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.223$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.308$^{*}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.224 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.554$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.473$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.444$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.583$^{***}$ \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.308$^{*}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.385$^{***}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; $-$0.086 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.019 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.025 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.074 \\ 
##   &amp; (0.196) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.208 \\ 
##   &amp; (0.232) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; $-$0.009 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.128 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.099 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.008 \\ 
##   &amp; (0.228) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.109 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.030 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.041 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; 0.011 \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.138 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.463$^{***}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; $-$0.053 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.368$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; 0.014 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.053 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; 0.050 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.101 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.048 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.265$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.097 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.378$^{*}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.132 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.060 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.101 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.056 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.062 \\ 
##   &amp; (0.311) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.036 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.150 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.211$^{**}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.015 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.033 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.171 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.082 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.640$^{***}$ \\ 
##   &amp; (0.194) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.089 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.059 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.100 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.030 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.112 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.082 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.286$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.157 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; $-$0.039 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.095 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.141 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.046 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.143 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.162$^{*}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.024 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.080 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.060 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.129 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.146 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.022 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.216 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.304$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.298 \\ 
##   &amp; (0.193) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.289 \\ 
##   &amp; (0.193) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.155 \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; $-$0.102 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.101 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.058 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.138 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.212 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.265 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.355 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.055 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.001 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.375$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.265$^{*}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.318$^{**}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.389$^{*}$ \\ 
##   &amp; (0.227) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.171 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.089 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; $-$0.032 \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.027 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.335$^{**}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.407$^{***}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.170 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.195 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.111 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.220 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.222 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.246 \\ 
##   &amp; (0.312) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.143 \\ 
##   &amp; (0.313) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.286$^{*}$ \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.245 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.007 \\ 
##   &amp; (0.230) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.158 \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.144 \\ 
##   &amp; (0.233) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.113 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.140 \\ 
##   &amp; (0.309) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.158 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.345 \\ 
##   &amp; (0.310) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.270$^{*}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.101 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.364$^{**}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.162 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.028 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.080 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.385$^{***}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.042 \\ 
##   &amp; (0.226) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.180 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.109 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.236 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.405 \\ 
##   &amp; (0.753) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.903 \\ 
## Adjusted R$^{2}$ &amp; 0.893 \\ 
## Residual Std. Error &amp; 0.298 (df = 2465) \\ 
## F Statistic &amp; 91.338$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="figure-s4" class="section level2">
<h2>Figure S4</h2>
<div class="sourceCode" id="cb124"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb124-1" data-line-number="1"><span class="co"># load dataset</span></a>
<a class="sourceLine" id="cb124-2" data-line-number="2"></a>
<a class="sourceLine" id="cb124-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_its.RData&quot;</span>)</a>
<a class="sourceLine" id="cb124-4" data-line-number="4"></a>
<a class="sourceLine" id="cb124-5" data-line-number="5"><span class="co">#center time variable</span></a>
<a class="sourceLine" id="cb124-6" data-line-number="6"></a>
<a class="sourceLine" id="cb124-7" data-line-number="7">dataframe_its<span class="op">$</span>elapsed &lt;-<span class="st">  </span><span class="kw">scale</span>(dataframe_its<span class="op">$</span>year, <span class="dt">center=</span><span class="ot">TRUE</span>, <span class="dt">scale=</span><span class="ot">FALSE</span>)</a>
<a class="sourceLine" id="cb124-8" data-line-number="8"></a>
<a class="sourceLine" id="cb124-9" data-line-number="9"><span class="co"># its model</span></a>
<a class="sourceLine" id="cb124-10" data-line-number="10"></a>
<a class="sourceLine" id="cb124-11" data-line-number="11">model &lt;-<span class="st"> </span><span class="kw">lm</span>(dis_to_pes <span class="op">~</span><span class="st"> </span>elapsed <span class="op">+</span><span class="st"> </span>time <span class="op">+</span><span class="st"> </span>elapsed<span class="op">*</span>time, <span class="dt">data =</span> dataframe_its)</a>
<a class="sourceLine" id="cb124-12" data-line-number="12"><span class="kw">summary</span>(model)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = dis_to_pes ~ elapsed + time + elapsed * time, data = dataframe_its)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.84298 -0.25123 -0.04314  0.23079  0.76958 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)   0.94006    0.08830  10.647 2.89e-15 ***
## elapsed       0.05400    0.01087   4.968 6.31e-06 ***
## time         -0.63878    0.23643  -2.702  0.00903 ** 
## elapsed:time -0.05236    0.02427  -2.157  0.03514 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.367 on 58 degrees of freedom
## Multiple R-squared:  0.3728, Adjusted R-squared:  0.3403 
## F-statistic: 11.49 on 3 and 58 DF,  p-value: 5.156e-06</code></pre>
<div class="sourceCode" id="cb126"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb126-1" data-line-number="1"><span class="co"># its results plot </span></a>
<a class="sourceLine" id="cb126-2" data-line-number="2"></a>
<a class="sourceLine" id="cb126-3" data-line-number="3"><span class="kw">ggplot</span>(dataframe_its_plot, <span class="kw">aes</span>(<span class="dt">x=</span><span class="kw">reorder</span>(name, order), <span class="dt">y=</span>coefs)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb126-4" data-line-number="4"><span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">size=</span><span class="dv">1</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>), <span class="dt">color =</span> <span class="st">&quot;gray50&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb126-5" data-line-number="5"><span class="st">  </span><span class="kw">geom_errorbar</span>(<span class="kw">aes</span>(<span class="dt">ymin=</span>lower, <span class="dt">ymax=</span>upper), <span class="dt">color =</span> <span class="st">&quot;gray50&quot;</span>, <span class="dt">width=</span>.<span class="dv">01</span>, <span class="dt">position=</span><span class="kw">position_dodge</span>(<span class="dt">width=</span><span class="fl">0.3</span>)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb126-6" data-line-number="6"><span class="st">  </span><span class="kw">coord_flip</span>() <span class="op">+</span><span class="st"> </span><span class="kw">theme_bw</span>() <span class="op">+</span><span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept=</span><span class="dv">0</span>, <span class="dt">linetype=</span><span class="st">&quot;dashed&quot;</span>, </a>
<a class="sourceLine" id="cb126-7" data-line-number="7">                                         <span class="dt">color =</span> <span class="st">&quot;gray50&quot;</span>, <span class="dt">size=</span><span class="fl">0.5</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb126-8" data-line-number="8"><span class="st">  </span><span class="kw">ylab</span>(<span class="st">&quot;Coefficient&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">&quot;&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.title=</span><span class="kw">element_blank</span>()) <span class="op">+</span></a>
<a class="sourceLine" id="cb126-9" data-line-number="9"><span class="st">  </span><span class="kw">theme</span>(<span class="dt">panel.grid.major =</span> <span class="kw">element_blank</span>(), <span class="dt">panel.grid.minor =</span> <span class="kw">element_blank</span>()) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">&quot;Interrupted Time Series&quot;</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb126-10" data-line-number="10"><span class="st">  </span><span class="kw">ylim</span>(<span class="op">-</span><span class="fl">1.25</span>, <span class="fl">0.25</span>)</a></code></pre></div>
<p><img 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" width="768" /></p>
</div>
<div id="table-s9" class="section level2">
<h2>Table S9</h2>
<div class="sourceCode" id="cb127"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb127-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb127-2" data-line-number="2"></a>
<a class="sourceLine" id="cb127-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe1.RData&quot;</span>)</a>
<a class="sourceLine" id="cb127-4" data-line-number="4"></a>
<a class="sourceLine" id="cb127-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb127-6" data-line-number="6"></a>
<a class="sourceLine" id="cb127-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb127-8" data-line-number="8"></a>
<a class="sourceLine" id="cb127-9" data-line-number="9"><span class="co"># Model 1 in Table S9 </span></a>
<a class="sourceLine" id="cb127-10" data-line-number="10"></a>
<a class="sourceLine" id="cb127-11" data-line-number="11">model1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + lag_econ_glob*lag_rile + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb127-12" data-line-number="12"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb127-13" data-line-number="13"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb127-14" data-line-number="14"></a>
<a class="sourceLine" id="cb127-15" data-line-number="15">model1 &lt;-<span class="st"> </span><span class="kw">lm</span>(model1, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb127-16" data-line-number="16"><span class="kw">summary</span>(model1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model1, data = dataframe1)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.9527 -0.1003 -0.0010  0.1091  2.0865 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -0.5468756  0.4596029  -1.190 0.234205    
## lag_rile                1.0214492  0.0692642  14.747  &lt; 2e-16 ***
## lag_cmedian             0.0168239  0.0375226   0.448 0.653927    
## lag_econ_glob           0.0165164  0.0054119   3.052 0.002298 ** 
## spruled                 0.0035448  0.0012017   2.950 0.003209 ** 
## year_fe2                0.0203963  0.0673649   0.303 0.762088    
## year_fe3                0.0235843  0.0666240   0.354 0.723375    
## year_fe4                0.0265687  0.0671950   0.395 0.692584    
## year_fe5                0.0822865  0.0678763   1.212 0.225514    
## year_fe6                0.1586313  0.0683119   2.322 0.020305 *  
## year_fe7                0.1422453  0.0698833   2.035 0.041910 *  
## year_fe8                0.1147001  0.0664395   1.726 0.084403 .  
## year_fe9               -0.0501709  0.0742078  -0.676 0.499049    
## year_fe10              -0.0204543  0.0846743  -0.242 0.809138    
## year_fe11               0.0164423  0.0751545   0.219 0.826840    
## year_fe12               0.0403769  0.0711623   0.567 0.570500    
## year_fe13               0.1132298  0.0668670   1.693 0.090514 .  
## year_fe14               0.1190794  0.0668070   1.782 0.074801 .  
## year_fe15              -0.1664771  0.0848316  -1.962 0.049823 *  
## year_fe16              -0.1577835  0.1094828  -1.441 0.149663    
## year_fe17              -0.1404508  0.1037532  -1.354 0.175956    
## year_fe18              -0.0937904  0.1046338  -0.896 0.370144    
## year_fe19              -0.0448908  0.0932825  -0.481 0.630392    
## year_fe20              -0.1350197  0.1341197  -1.007 0.314173    
## year_fe21              -0.1947966  0.1412786  -1.379 0.168078    
## year_fe22              -0.1816584  0.1389229  -1.308 0.191124    
## year_fe23              -0.2870745  0.1566214  -1.833 0.066935 .  
## year_fe24              -0.2907790  0.1585418  -1.834 0.066762 .  
## year_fe25              -0.2128010  0.1475668  -1.442 0.149411    
## year_fe26              -0.2604478  0.1539438  -1.692 0.090804 .  
## year_fe27              -0.1732568  0.1205283  -1.437 0.150709    
## year_fe28              -0.1491985  0.1257175  -1.187 0.235430    
## year_fe29              -0.4420029  0.1982864  -2.229 0.025896 *  
## year_fe30              -0.4169901  0.1796123  -2.322 0.020335 *  
## year_fe31              -0.2958322  0.1496829  -1.976 0.048222 *  
## year_fe32              -0.3614610  0.1609037  -2.246 0.024764 *  
## year_fe33              -0.3542071  0.1654712  -2.141 0.032404 *  
## year_fe34              -0.3237590  0.1609797  -2.011 0.044415 *  
## party_fe2              -0.1073039  0.1186074  -0.905 0.365714    
## party_fe3               0.0107777  0.1186431   0.091 0.927626    
## party_fe4               0.3559573  0.1207094   2.949 0.003219 ** 
## party_fe5               0.3361977  0.1199195   2.804 0.005094 ** 
## party_fe6               0.5376397  0.1239109   4.339 1.49e-05 ***
## party_fe7              -0.1010512  0.1438145  -0.703 0.482340    
## party_fe8               0.0095335  0.1436468   0.066 0.947091    
## party_fe9               0.1415565  0.1435481   0.986 0.324168    
## party_fe10              0.1956105  0.1435822   1.362 0.173209    
## party_fe11              0.3631450  0.1442256   2.518 0.011869 *  
## party_fe12              0.1759860  0.2060780   0.854 0.393200    
## party_fe13             -0.0010722  0.1353033  -0.008 0.993678    
## party_fe14             -0.1180821  0.1323132  -0.892 0.372242    
## party_fe15             -0.0724194  0.1169697  -0.619 0.535888    
## party_fe16             -0.1051710  0.1017959  -1.033 0.301633    
## party_fe17              0.1135139  0.1018013   1.115 0.264936    
## party_fe18              0.4699176  0.1098554   4.278 1.96e-05 ***
## party_fe19              0.1544013  0.1020306   1.513 0.130336    
## party_fe20              0.5569120  0.1057450   5.267 1.51e-07 ***
## party_fe21              0.4651884  0.1067698   4.357 1.37e-05 ***
## party_fe22              0.4869101  0.1047691   4.647 3.54e-06 ***
## party_fe23              0.6385373  0.1306423   4.888 1.09e-06 ***
## party_fe24              0.0006955  0.1179420   0.006 0.995296    
## party_fe25             -0.2398547  0.1181897  -2.029 0.042524 *  
## party_fe26             -0.0061843  0.1179689  -0.052 0.958196    
## party_fe27              0.1161255  0.3385102   0.343 0.731591    
## party_fe28              0.3423661  0.2080772   1.645 0.100019    
## party_fe29              0.2770642  0.1198303   2.312 0.020852 *  
## party_fe30              0.2798366  0.1198076   2.336 0.019586 *  
## party_fe31              0.1181287  0.1054391   1.120 0.262674    
## party_fe32              0.2087528  0.1056511   1.976 0.048281 *  
## party_fe33              0.2970760  0.1581277   1.879 0.060402 .  
## party_fe34              0.1268408  0.1054656   1.203 0.229218    
## party_fe35              0.0440760  0.1035363   0.426 0.670360    
## party_fe36              0.1349112  0.2452946   0.550 0.582372    
## party_fe37              0.4183739  0.1051832   3.978 7.16e-05 ***
## party_fe38              0.4043203  0.1189351   3.400 0.000686 ***
## party_fe39              0.2066875  0.2069865   0.999 0.318108    
## party_fe40              0.3311569  0.1870617   1.770 0.076799 .  
## party_fe41              0.2101876  0.2066720   1.017 0.309248    
## party_fe42              0.1921395  0.1495222   1.285 0.198905    
## party_fe43              0.9150809  0.2115888   4.325 1.59e-05 ***
## party_fe44              0.3689873  0.1043194   3.537 0.000412 ***
## party_fe45              0.2005785  0.1032401   1.943 0.052150 .  
## party_fe46              0.1902366  0.1111425   1.712 0.087088 .  
## party_fe47              0.0971298  0.1175007   0.827 0.408526    
## party_fe48              0.1359972  0.1290920   1.053 0.292220    
## party_fe49              0.1480056  0.1027720   1.440 0.149956    
## party_fe50              0.2292136  0.1030654   2.224 0.026241 *  
## party_fe51              0.4785041  0.1061388   4.508 6.84e-06 ***
## party_fe52             -0.1637212  0.2064237  -0.793 0.427777    
## party_fe53              0.2668116  0.1040161   2.565 0.010373 *  
## party_fe54              0.2002691  0.1855645   1.079 0.280585    
## party_fe55              0.6020955  0.1466468   4.106 4.16e-05 ***
## party_fe56              0.1960175  0.2073628   0.945 0.344605    
## party_fe57              0.5671621  0.1906529   2.975 0.002960 ** 
## party_fe58              0.0944696  0.1880644   0.502 0.615483    
## party_fe59             -0.0168827  0.1446406  -0.117 0.907090    
## party_fe60              0.1638327  0.1400048   1.170 0.242036    
## party_fe61              0.0366003  0.1579119   0.232 0.816730    
## party_fe62             -0.3713063  0.1285895  -2.888 0.003917 ** 
## party_fe63             -0.2566646  0.3370156  -0.762 0.446383    
## party_fe64             -0.0016992  0.1071714  -0.016 0.987352    
## party_fe65              0.3158547  0.1082183   2.919 0.003547 ** 
## party_fe66              0.1853520  0.1072551   1.728 0.084088 .  
## party_fe67             -0.0060663  0.1232008  -0.049 0.960733    
## party_fe68              0.2056053  0.1890499   1.088 0.276891    
## party_fe69             -0.0624651  0.1140482  -0.548 0.583942    
## party_fe70              0.0747209  0.1130667   0.661 0.508766    
## party_fe71              0.2496674  0.3433487   0.727 0.467201    
## party_fe72              0.2019506  0.3436536   0.588 0.556816    
## party_fe73              0.3016718  0.1185653   2.544 0.011009 *  
## party_fe74              0.3375952  0.1295707   2.605 0.009229 ** 
## party_fe75              0.2679200  0.1122746   2.386 0.017094 *  
## party_fe76              0.1639230  0.1475311   1.111 0.266630    
## party_fe77              0.5733082  0.1193550   4.803 1.65e-06 ***
## party_fe78              0.4308998  0.2483020   1.735 0.082797 .  
## party_fe79              0.1597055  0.1268586   1.259 0.208177    
## party_fe80              0.1844711  0.1857862   0.993 0.320846    
## party_fe81              0.1259097  0.1453797   0.866 0.386533    
## party_fe82              0.0292126  0.1535326   0.190 0.849113    
## party_fe83             -0.0075339  0.1230194  -0.061 0.951172    
## party_fe84              0.0937942  0.1599791   0.586 0.557734    
## party_fe85              0.2110270  0.1125367   1.875 0.060886 .  
## party_fe86              0.0775444  0.3373003   0.230 0.818191    
## party_fe87              0.5205463  0.1201587   4.332 1.54e-05 ***
## party_fe88              0.2567516  0.1236878   2.076 0.038016 *  
## party_fe89              0.6639999  0.1882289   3.528 0.000427 ***
## party_fe90              0.0937942  0.1599791   0.586 0.557734    
## party_fe91              0.2774185  0.1270468   2.184 0.029086 *  
## party_fe92              0.4498959  0.1278139   3.520 0.000439 ***
## party_fe93              0.3378258  0.1272954   2.654 0.008008 ** 
## party_fe94              0.1844711  0.1857862   0.993 0.320846    
## party_fe95              0.2729064  0.2477366   1.102 0.270744    
## party_fe96              0.3435613  0.1170350   2.936 0.003360 ** 
## party_fe97              0.6628152  0.1882195   3.522 0.000437 ***
## party_fe98              0.4732290  0.1868716   2.532 0.011391 *  
## party_fe99              0.3378838  0.3388039   0.997 0.318724    
## party_fe100             0.7274391  0.1620142   4.490 7.45e-06 ***
## party_fe101            -0.1889885  0.1873812  -1.009 0.313276    
## party_fe102             0.7241572  0.1306606   5.542 3.30e-08 ***
## party_fe103             0.7518327  0.1616959   4.650 3.50e-06 ***
## party_fe104             0.4732290  0.1868716   2.532 0.011391 *  
## party_fe105             0.4684053  0.1117970   4.190 2.89e-05 ***
## party_fe106             0.4141727  0.1193176   3.471 0.000527 ***
## party_fe107             0.2878830  0.1405643   2.048 0.040661 *  
## party_fe108            -0.0104612  0.1133102  -0.092 0.926449    
## party_fe109             0.0542543  0.1127122   0.481 0.630309    
## party_fe110             0.0610868  0.2132580   0.286 0.774561    
## party_fe111             0.2006923  0.2514478   0.798 0.424862    
## party_fe112             0.0566980  0.1421057   0.399 0.689939    
## party_fe113             0.2501717  0.1130174   2.214 0.026950 *  
## party_fe114             0.1948467  0.1127523   1.728 0.084096 .  
## party_fe115             0.0508434  0.2482281   0.205 0.837725    
## party_fe116             0.1692992  0.1174236   1.442 0.149491    
## party_fe117             0.0035943  0.1375488   0.026 0.979155    
## party_fe118             0.0464961  0.1141431   0.407 0.683787    
## party_fe119            -0.0068342  0.2109968  -0.032 0.974164    
## party_fe120             0.2158787  0.1137695   1.898 0.057877 .  
## party_fe121             0.3700282  0.1643325   2.252 0.024429 *  
## party_fe122             0.2305317  0.1258815   1.831 0.067171 .  
## party_fe123             0.4064618  0.1725285   2.356 0.018555 *  
## party_fe124            -0.0458317  0.1297525  -0.353 0.723951    
## party_fe125             0.0219303  0.1089040   0.201 0.840424    
## party_fe126            -0.0384368  0.1173479  -0.328 0.743283    
## party_fe127            -0.1053279  0.3390716  -0.311 0.756104    
## party_fe128             0.0545391  0.1092533   0.499 0.617684    
## party_fe129             0.3481721  0.1730682   2.012 0.044354 *  
## party_fe130             0.2430329  0.1096988   2.215 0.026820 *  
## party_fe131             0.4783936  0.2114614   2.262 0.023764 *  
## party_fe132             0.2396152  0.1097237   2.184 0.029071 *  
## party_fe133             0.0712966  0.1120094   0.637 0.524495    
## party_fe134            -0.0644941  0.1279524  -0.504 0.614273    
## party_fe135            -0.0317443  0.2084496  -0.152 0.878973    
## party_fe136             0.0339713  0.3383834   0.100 0.920040    
## party_fe137             0.1355178  0.1089303   1.244 0.213589    
## party_fe138             0.2872218  0.1086706   2.643 0.008268 ** 
## party_fe139             0.4170104  0.1097365   3.800 0.000148 ***
## party_fe140             0.1446076  0.1191970   1.213 0.225177    
## party_fe141             0.0227050  0.1678712   0.135 0.892423    
## party_fe142             0.0655875  0.1189551   0.551 0.581435    
## party_fe143             0.2710110  0.1207217   2.245 0.024861 *  
## party_fe144             0.9146257  0.2116098   4.322 1.61e-05 ***
## party_fe145             0.3083411  0.1207040   2.555 0.010693 *  
## party_fe146             0.1942232  0.1835276   1.058 0.290033    
## party_fe147             0.1434795  0.1506181   0.953 0.340884    
## party_fe148             0.1168901  0.1029539   1.135 0.256334    
## party_fe149             0.2050712  0.1440626   1.423 0.154722    
## party_fe150             0.1748817  0.1029264   1.699 0.089428 .  
## party_fe151             0.4979531  0.1053147   4.728 2.39e-06 ***
## party_fe152             0.2344683  0.1282112   1.829 0.067555 .  
## party_fe153             0.0311413  0.1107534   0.281 0.778598    
## party_fe154            -0.1510316  0.1323566  -1.141 0.253941    
## party_fe155             0.0521643  0.1383527   0.377 0.706177    
## party_fe156             0.0279060  0.1027139   0.272 0.785886    
## party_fe157             0.3422683  0.1110372   3.082 0.002076 ** 
## party_fe158             0.3004754  0.1040882   2.887 0.003926 ** 
## party_fe159             0.1249092  0.1034563   1.207 0.227409    
## party_fe160             0.1368627  0.3362671   0.407 0.684039    
## party_fe161             0.1057467  0.3362425   0.314 0.753171    
## party_fe162             0.2135559  0.3363666   0.635 0.525559    
## party_fe163             0.2409805  0.3364156   0.716 0.473863    
## party_fe164             0.0567719  0.2092980   0.271 0.786222    
## party_fe165            -0.1749586  0.1873457  -0.934 0.350457    
## party_fe166             0.4165999  0.1880141   2.216 0.026797 *  
## party_fe167             0.4174886  0.2098126   1.990 0.046721 *  
## party_fe168             0.4054846  0.2097638   1.933 0.053344 .  
## party_fe169             0.2157857  0.1873843   1.152 0.249611    
## party_fe170             0.1450348  0.1842596   0.787 0.431286    
## party_fe171            -0.0317748  0.1578185  -0.201 0.840451    
## party_fe172             0.1661749  0.1580479   1.051 0.293168    
## party_fe173             0.4397742  0.1618860   2.717 0.006642 ** 
## party_fe174             0.3406498  0.1844769   1.847 0.064929 .  
## party_fe175             0.3905168  0.3367946   1.160 0.246361    
## party_fe176             0.5304659  0.3373672   1.572 0.115993    
## party_fe177             0.1405366  0.2074357   0.677 0.498156    
## party_fe178             0.2048499  0.1588457   1.290 0.197305    
## party_fe179            -0.0760699  0.1583705  -0.480 0.631036    
## party_fe180             0.4293626  0.1598288   2.686 0.007271 ** 
## party_fe181             0.4158392  0.1594556   2.608 0.009166 ** 
## party_fe182             0.6606924  0.2478474   2.666 0.007732 ** 
## party_fe183             0.2566069  0.1836252   1.397 0.162404    
## party_fe184             0.2582435  0.1580269   1.634 0.102350    
## party_fe185             0.0383476  0.1834047   0.209 0.834397    
## party_fe186             0.1625925  0.1578214   1.030 0.303003    
## party_fe187             0.4954577  0.1694431   2.924 0.003487 ** 
## party_fe188             0.5465893  0.1692792   3.229 0.001259 ** 
## party_fe189             0.2820713  0.3394384   0.831 0.406058    
## party_fe190             0.3175771  0.3395009   0.935 0.349662    
## party_fe191             0.1994091  0.3393311   0.588 0.556819    
## party_fe192             0.3527878  0.3395726   1.039 0.298945    
## party_fe193             0.3554503  0.3395784   1.047 0.295322    
## party_fe194             0.3889948  0.3396564   1.145 0.252213    
## party_fe195             0.2667496  0.3404919   0.783 0.433453    
## party_fe196             0.4048123  0.1651866   2.451 0.014329 *  
## party_fe197             0.3571637  0.1653342   2.160 0.030849 *  
## party_fe198             0.1154628  0.2503098   0.461 0.644639    
## party_fe199             0.3688593  0.2533768   1.456 0.145583    
## party_fe200             0.2912144  0.2531313   1.150 0.250071    
## party_fe201             0.1634024  0.3360430   0.486 0.626830    
## party_fe202             0.2048671  0.3361058   0.610 0.542228    
## party_fe203             0.0062458  0.1577152   0.040 0.968414    
## party_fe204             0.5223982  0.3370913   1.550 0.121336    
## party_fe205             0.5913975  0.1615398   3.661 0.000257 ***
## party_fe206             0.1716343  0.1593821   1.077 0.281642    
## party_fe207             0.4997478  0.1848956   2.703 0.006922 ** 
## party_fe208             0.3555012  0.1589191   2.237 0.025376 *  
## party_fe209             0.1739252  0.1593218   1.092 0.275089    
## party_fe210             0.2301633  0.1594787   1.443 0.149085    
## party_fe211             0.3635491  0.1593357   2.282 0.022595 *  
## party_fe212             0.1635946  0.2460620   0.665 0.506208    
## party_fe213             0.3023090  0.1596201   1.894 0.058352 .  
## party_fe214             0.2350078  0.1594257   1.474 0.140585    
## party_fe215             0.4416964  0.1606026   2.750 0.005999 ** 
## lag_rile:lag_econ_glob -0.0034691  0.0008891  -3.902 9.81e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3238 on 2465 degrees of freedom
## Multiple R-squared:  0.8885, Adjusted R-squared:  0.8771 
## F-statistic: 77.94 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb129"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb129-1" data-line-number="1"><span class="kw">stargazer</span>(model1) </a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:06
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 1.021$^{***}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.017 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.017$^{***}$ \\ 
##   &amp; (0.005) \\ 
##   &amp; \\ 
##  spruled &amp; 0.004$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.020 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.024 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.027 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.082 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.159$^{**}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.142$^{**}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.115$^{*}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.050 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.020 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.016 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.040 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.113$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.119$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.166$^{**}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.158 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.140 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.094 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.045 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.135 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.195 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.182 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.287$^{*}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.291$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.213 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.260$^{*}$ \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.173 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.149 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.442$^{**}$ \\ 
##   &amp; (0.198) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.417$^{**}$ \\ 
##   &amp; (0.180) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.296$^{**}$ \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.361$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.354$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.324$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.107 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.011 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.356$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.538$^{***}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.101 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.010 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.142 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.196 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.363$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.176 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.001 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.118 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.072 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.105 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.114 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.470$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.154 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.557$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.465$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.487$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.639$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.001 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.240$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.006 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.116 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.342 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.277$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.280$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.118 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.209$^{**}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.297$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.127 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.044 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.135 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.418$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.404$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.207 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.331$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.210 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.192 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.915$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.201$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.190$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.097 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.136 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.148 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.229$^{**}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.479$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.164 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.267$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.200 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.602$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.196 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.567$^{***}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.094 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.017 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.164 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.037 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.371$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.257 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.002 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.316$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.185$^{*}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.006 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.206 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.062 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.075 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.250 \\ 
##   &amp; (0.343) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.202 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.302$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.338$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.164 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.573$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.431$^{*}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.160 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.184 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.126 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.029 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.008 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.094 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.211$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.078 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.521$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.664$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.094 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.277$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.450$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.338$^{***}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.184 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.273 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.344$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.663$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.338 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.727$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.189 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.724$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.752$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.468$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.414$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.288$^{**}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.010 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.054 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.061 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.201 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.057 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.250$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.195$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.051 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.169 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.004 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; 0.046 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.007 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.370$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.231$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.046 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.022 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.038 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.105 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.055 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.348$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.243$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.478$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.240$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.071 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.064 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.032 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.034 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.136 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.287$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.417$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.145 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.023 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.066 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.271$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.915$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.308$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.194 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.143 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.117 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.205 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.175$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.498$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.234$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.031 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.151 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.052 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.028 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.342$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.300$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.125 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.137 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.106 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.214 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.241 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.057 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.175 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.417$^{**}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.405$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.216 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.145 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.032 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.166 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.440$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.341$^{*}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.391 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.530 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.141 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.205 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.076 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.429$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.416$^{***}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.661$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.257 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.258 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.038 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.163 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.547$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.282 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.318 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.199 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.353 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.355 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.389 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.267 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.405$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.357$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.115 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.369 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.291 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.163 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.205 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; 0.006 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.522 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.591$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.172 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.500$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.356$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.174 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.230 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.364$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.164 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.302$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.235 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  lag\_rile:lag\_econ\_glob &amp; $-$0.003$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.547 \\ 
##   &amp; (0.460) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.937$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb131"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb131-1" data-line-number="1"><span class="co"># Model 2 in Table S9 </span></a>
<a class="sourceLine" id="cb131-2" data-line-number="2"></a>
<a class="sourceLine" id="cb131-3" data-line-number="3">model2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + lag_econ_glob*lag_rile + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb131-4" data-line-number="4"></a>
<a class="sourceLine" id="cb131-5" data-line-number="5">model2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model2, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb131-6" data-line-number="6"><span class="kw">summary</span>(model2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model2, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92330 -0.09753 -0.00048  0.11218  2.10462 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -2.903e-01  4.506e-01  -0.644 0.519542    
## lag_rile                1.007e+00  6.920e-02  14.558  &lt; 2e-16 ***
## lag_cmedian             1.930e-02  3.756e-02   0.514 0.607294    
## lag_econ_glob           1.578e-02  5.403e-03   2.920 0.003533 ** 
## spsamegroup_ruled       1.691e-03  6.733e-04   2.512 0.012080 *  
## year_fe2                3.307e-02  6.725e-02   0.492 0.622926    
## year_fe3                7.793e-03  6.668e-02   0.117 0.906974    
## year_fe4                3.552e-02  6.704e-02   0.530 0.596261    
## year_fe5                1.063e-01  6.713e-02   1.583 0.113447    
## year_fe6                1.123e-01  6.718e-02   1.672 0.094595 .  
## year_fe7                7.916e-02  6.738e-02   1.175 0.240226    
## year_fe8                1.057e-01  6.653e-02   1.590 0.112057    
## year_fe9                3.470e-02  6.714e-02   0.517 0.605278    
## year_fe10               1.311e-01  6.496e-02   2.018 0.043676 *  
## year_fe11               1.184e-01  6.475e-02   1.828 0.067676 .  
## year_fe12               1.183e-01  6.458e-02   1.832 0.067145 .  
## year_fe13               1.443e-01  6.541e-02   2.206 0.027462 *  
## year_fe14               1.197e-01  6.687e-02   1.790 0.073619 .  
## year_fe15              -3.202e-02  6.779e-02  -0.472 0.636707    
## year_fe16               7.272e-02  6.912e-02   1.052 0.292902    
## year_fe17               6.674e-02  6.927e-02   0.963 0.335413    
## year_fe18               1.044e-01  7.134e-02   1.464 0.143335    
## year_fe19               9.997e-02  7.293e-02   1.371 0.170573    
## year_fe20               1.719e-01  7.155e-02   2.403 0.016332 *  
## year_fe21               1.329e-01  7.355e-02   1.807 0.070828 .  
## year_fe22               1.281e-01  7.697e-02   1.665 0.096089 .  
## year_fe23               5.646e-02  8.148e-02   0.693 0.488378    
## year_fe24               5.631e-02  8.235e-02   0.684 0.494125    
## year_fe25               8.901e-02  8.680e-02   1.025 0.305228    
## year_fe26               7.003e-02  8.481e-02   0.826 0.409057    
## year_fe27               5.169e-02  8.158e-02   0.634 0.526415    
## year_fe28               9.626e-02  8.154e-02   1.181 0.237888    
## year_fe29               5.478e-02  8.159e-02   0.671 0.502077    
## year_fe30               2.342e-02  7.876e-02   0.297 0.766205    
## year_fe31               4.174e-02  8.064e-02   0.518 0.604788    
## year_fe32               1.044e-02  8.238e-02   0.127 0.899159    
## year_fe33               2.465e-02  8.081e-02   0.305 0.760416    
## year_fe34               4.622e-02  7.962e-02   0.581 0.561612    
## party_fe2              -9.836e-02  1.187e-01  -0.829 0.407401    
## party_fe3              -3.122e-02  1.198e-01  -0.261 0.794450    
## party_fe4               3.361e-01  1.210e-01   2.779 0.005501 ** 
## party_fe5               3.097e-01  1.204e-01   2.574 0.010123 *  
## party_fe6               5.114e-01  1.243e-01   4.116 3.99e-05 ***
## party_fe7              -8.803e-02  1.439e-01  -0.612 0.540615    
## party_fe8               2.302e-02  1.437e-01   0.160 0.872759    
## party_fe9               1.562e-01  1.436e-01   1.088 0.276708    
## party_fe10              2.105e-01  1.436e-01   1.466 0.142866    
## party_fe11              3.797e-01  1.443e-01   2.631 0.008561 ** 
## party_fe12              1.731e-01  2.062e-01   0.840 0.401255    
## party_fe13             -5.249e-02  1.349e-01  -0.389 0.697295    
## party_fe14             -1.747e-01  1.318e-01  -1.326 0.185061    
## party_fe15             -7.623e-02  1.170e-01  -0.651 0.514791    
## party_fe16             -1.383e-01  1.015e-01  -1.363 0.173027    
## party_fe17              4.213e-02  1.029e-01   0.409 0.682230    
## party_fe18              4.336e-01  1.094e-01   3.963 7.60e-05 ***
## party_fe19              1.165e-01  1.017e-01   1.146 0.252041    
## party_fe20              5.087e-01  1.056e-01   4.817 1.55e-06 ***
## party_fe21              4.385e-01  1.064e-01   4.122 3.87e-05 ***
## party_fe22              4.343e-01  1.048e-01   4.144 3.53e-05 ***
## party_fe23              6.424e-01  1.308e-01   4.910 9.72e-07 ***
## party_fe24              1.962e-03  1.180e-01   0.017 0.986737    
## party_fe25             -2.325e-01  1.183e-01  -1.965 0.049470 *  
## party_fe26             -6.195e-02  1.198e-01  -0.517 0.605103    
## party_fe27              1.493e-01  3.386e-01   0.441 0.659279    
## party_fe28              3.610e-01  2.082e-01   1.734 0.083050 .  
## party_fe29              2.581e-01  1.200e-01   2.151 0.031559 *  
## party_fe30              2.421e-01  1.205e-01   2.009 0.044660 *  
## party_fe31              8.896e-02  1.052e-01   0.846 0.397728    
## party_fe32              1.795e-01  1.054e-01   1.703 0.088628 .  
## party_fe33              2.722e-01  1.578e-01   1.725 0.084661 .  
## party_fe34              6.753e-02  1.068e-01   0.632 0.527356    
## party_fe35             -2.157e-02  1.049e-01  -0.206 0.837092    
## party_fe36              1.192e-01  2.453e-01   0.486 0.626945    
## party_fe37              3.679e-01  1.056e-01   3.482 0.000507 ***
## party_fe38              3.817e-01  1.191e-01   3.205 0.001368 ** 
## party_fe39              1.701e-01  2.067e-01   0.823 0.410537    
## party_fe40              3.221e-01  1.873e-01   1.720 0.085578 .  
## party_fe41              2.023e-01  2.067e-01   0.979 0.327903    
## party_fe42              1.767e-01  1.494e-01   1.183 0.236934    
## party_fe43              9.169e-01  2.118e-01   4.330 1.55e-05 ***
## party_fe44              3.228e-01  1.046e-01   3.085 0.002055 ** 
## party_fe45              1.484e-01  1.039e-01   1.428 0.153394    
## party_fe46              1.846e-01  1.112e-01   1.660 0.097013 .  
## party_fe47              1.087e-01  1.177e-01   0.924 0.355697    
## party_fe48              1.052e-01  1.293e-01   0.813 0.416115    
## party_fe49              9.293e-02  1.046e-01   0.889 0.374167    
## party_fe50              1.971e-01  1.035e-01   1.904 0.057057 .  
## party_fe51              4.540e-01  1.063e-01   4.271 2.02e-05 ***
## party_fe52             -1.275e-01  2.064e-01  -0.618 0.536678    
## party_fe53              2.289e-01  1.047e-01   2.185 0.029001 *  
## party_fe54              1.535e-01  1.856e-01   0.827 0.408220    
## party_fe55              6.240e-01  1.468e-01   4.250 2.22e-05 ***
## party_fe56              2.318e-01  2.074e-01   1.118 0.263694    
## party_fe57              5.810e-01  1.909e-01   3.044 0.002361 ** 
## party_fe58              8.188e-02  1.882e-01   0.435 0.663594    
## party_fe59             -3.828e-02  1.449e-01  -0.264 0.791638    
## party_fe60              1.682e-01  1.401e-01   1.200 0.230080    
## party_fe61              3.516e-02  1.580e-01   0.223 0.823903    
## party_fe62             -4.014e-01  1.290e-01  -3.111 0.001885 ** 
## party_fe63             -2.495e-01  3.372e-01  -0.740 0.459356    
## party_fe64             -5.770e-02  1.091e-01  -0.529 0.596852    
## party_fe65              2.749e-01  1.090e-01   2.522 0.011734 *  
## party_fe66              1.421e-01  1.082e-01   1.313 0.189301    
## party_fe67              4.217e-04  1.233e-01   0.003 0.997273    
## party_fe68              2.468e-01  1.897e-01   1.302 0.193184    
## party_fe69             -6.219e-02  1.141e-01  -0.545 0.585849    
## party_fe70              3.080e-02  1.140e-01   0.270 0.787122    
## party_fe71              2.417e-01  3.435e-01   0.703 0.481840    
## party_fe72              1.916e-01  3.438e-01   0.557 0.577451    
## party_fe73              3.134e-01  1.187e-01   2.640 0.008331 ** 
## party_fe74              3.331e-01  1.296e-01   2.570 0.010222 *  
## party_fe75              2.553e-01  1.124e-01   2.272 0.023195 *  
## party_fe76              1.672e-01  1.477e-01   1.132 0.257918    
## party_fe77              5.981e-01  1.198e-01   4.995 6.31e-07 ***
## party_fe78              4.592e-01  2.487e-01   1.847 0.064939 .  
## party_fe79              1.391e-01  1.265e-01   1.100 0.271579    
## party_fe80              1.875e-01  1.860e-01   1.008 0.313457    
## party_fe81              1.190e-01  1.454e-01   0.818 0.413535    
## party_fe82              3.370e-02  1.536e-01   0.219 0.826339    
## party_fe83             -2.467e-02  1.228e-01  -0.201 0.840761    
## party_fe84              1.025e-01  1.602e-01   0.640 0.522361    
## party_fe85              2.000e-01  1.124e-01   1.778 0.075467 .  
## party_fe86              1.032e-01  3.375e-01   0.306 0.759795    
## party_fe87              5.133e-01  1.201e-01   4.272 2.01e-05 ***
## party_fe88              2.360e-01  1.238e-01   1.907 0.056651 .  
## party_fe89              6.303e-01  1.875e-01   3.362 0.000787 ***
## party_fe90              1.059e-01  1.602e-01   0.661 0.508820    
## party_fe91              2.694e-01  1.271e-01   2.120 0.034128 *  
## party_fe92              4.447e-01  1.279e-01   3.478 0.000513 ***
## party_fe93              3.313e-01  1.273e-01   2.602 0.009325 ** 
## party_fe94              1.875e-01  1.860e-01   1.008 0.313457    
## party_fe95              2.998e-01  2.481e-01   1.208 0.227097    
## party_fe96              3.000e-01  1.173e-01   2.558 0.010586 *  
## party_fe97              5.808e-01  1.873e-01   3.100 0.001955 ** 
## party_fe98              4.786e-01  1.871e-01   2.558 0.010585 *  
## party_fe99              3.321e-01  3.389e-01   0.980 0.327311    
## party_fe100             6.991e-01  1.614e-01   4.331 1.54e-05 ***
## party_fe101            -1.633e-01  1.877e-01  -0.870 0.384513    
## party_fe102             6.825e-01  1.305e-01   5.229 1.85e-07 ***
## party_fe103             7.669e-01  1.620e-01   4.734 2.33e-06 ***
## party_fe104             4.786e-01  1.871e-01   2.558 0.010585 *  
## party_fe105             4.629e-01  1.118e-01   4.141 3.58e-05 ***
## party_fe106             4.045e-01  1.192e-01   3.393 0.000703 ***
## party_fe107             3.035e-01  1.409e-01   2.154 0.031324 *  
## party_fe108             2.221e-03  1.135e-01   0.020 0.984384    
## party_fe109             1.814e-02  1.138e-01   0.159 0.873305    
## party_fe110             5.729e-02  2.134e-01   0.269 0.788325    
## party_fe111             1.933e-01  2.516e-01   0.769 0.442262    
## party_fe112             2.264e-02  1.427e-01   0.159 0.874001    
## party_fe113             2.217e-01  1.137e-01   1.949 0.051390 .  
## party_fe114             1.826e-01  1.129e-01   1.617 0.106068    
## party_fe115             6.535e-02  2.484e-01   0.263 0.792519    
## party_fe116             1.777e-01  1.175e-01   1.512 0.130568    
## party_fe117             3.675e-02  1.376e-01   0.267 0.789431    
## party_fe118             1.409e-02  1.150e-01   0.123 0.902492    
## party_fe119             3.855e-02  2.110e-01   0.183 0.855064    
## party_fe120             2.111e-01  1.139e-01   1.854 0.063918 .  
## party_fe121             4.026e-01  1.645e-01   2.447 0.014478 *  
## party_fe122             2.439e-01  1.260e-01   1.936 0.053033 .  
## party_fe123             3.905e-01  1.726e-01   2.263 0.023736 *  
## party_fe124            -1.387e-02  1.300e-01  -0.107 0.915002    
## party_fe125             3.639e-02  1.090e-01   0.334 0.738523    
## party_fe126            -1.174e-02  1.175e-01  -0.100 0.920452    
## party_fe127            -1.112e-01  3.393e-01  -0.328 0.743156    
## party_fe128             1.785e-02  1.105e-01   0.162 0.871678    
## party_fe129             3.347e-01  1.731e-01   1.933 0.053314 .  
## party_fe130             2.163e-01  1.105e-01   1.958 0.050314 .  
## party_fe131             4.611e-01  2.115e-01   2.180 0.029322 *  
## party_fe132             2.577e-01  1.099e-01   2.345 0.019098 *  
## party_fe133             5.783e-02  1.119e-01   0.517 0.605307    
## party_fe134            -6.804e-02  1.280e-01  -0.532 0.595043    
## party_fe135            -3.711e-02  2.085e-01  -0.178 0.858776    
## party_fe136             2.989e-02  3.386e-01   0.088 0.929655    
## party_fe137             7.633e-02  1.096e-01   0.696 0.486388    
## party_fe138             2.524e-01  1.086e-01   2.325 0.020157 *  
## party_fe139             3.786e-01  1.098e-01   3.449 0.000572 ***
## party_fe140             1.343e-01  1.192e-01   1.127 0.259963    
## party_fe141             1.968e-02  1.679e-01   0.117 0.906717    
## party_fe142            -1.591e-05  1.207e-01   0.000 0.999895    
## party_fe143             2.763e-01  1.209e-01   2.285 0.022422 *  
## party_fe144             9.184e-01  2.118e-01   4.337 1.50e-05 ***
## party_fe145             2.644e-01  1.212e-01   2.181 0.029262 *  
## party_fe146             1.978e-01  1.837e-01   1.077 0.281621    
## party_fe147             1.749e-01  1.510e-01   1.158 0.246853    
## party_fe148             7.286e-02  1.043e-01   0.698 0.484948    
## party_fe149             1.856e-01  1.442e-01   1.288 0.197964    
## party_fe150             1.774e-01  1.030e-01   1.723 0.085068 .  
## party_fe151             4.728e-01  1.058e-01   4.471 8.15e-06 ***
## party_fe152             2.582e-01  1.285e-01   2.010 0.044582 *  
## party_fe153             3.258e-02  1.108e-01   0.294 0.768740    
## party_fe154            -1.617e-01  1.326e-01  -1.219 0.222935    
## party_fe155             7.162e-02  1.384e-01   0.518 0.604837    
## party_fe156            -2.427e-02  1.048e-01  -0.232 0.816811    
## party_fe157             3.186e-01  1.113e-01   2.863 0.004239 ** 
## party_fe158             2.707e-01  1.047e-01   2.586 0.009759 ** 
## party_fe159             1.159e-01  1.035e-01   1.120 0.262998    
## party_fe160             1.130e-01  3.363e-01   0.336 0.736789    
## party_fe161             8.187e-02  3.362e-01   0.243 0.807642    
## party_fe162             1.898e-01  3.364e-01   0.564 0.572541    
## party_fe163             2.173e-01  3.364e-01   0.646 0.518373    
## party_fe164             6.880e-02  2.095e-01   0.328 0.742624    
## party_fe165            -1.616e-01  1.876e-01  -0.862 0.388912    
## party_fe166             4.334e-01  1.883e-01   2.302 0.021437 *  
## party_fe167             4.335e-01  2.101e-01   2.064 0.039169 *  
## party_fe168             4.213e-01  2.100e-01   2.006 0.044941 *  
## party_fe169             2.299e-01  1.876e-01   1.225 0.220594    
## party_fe170             1.418e-01  1.843e-01   0.769 0.441880    
## party_fe171            -3.004e-02  1.579e-01  -0.190 0.849166    
## party_fe172             1.386e-01  1.582e-01   0.876 0.381111    
## party_fe173             4.396e-01  1.620e-01   2.714 0.006701 ** 
## party_fe174             3.174e-01  1.844e-01   1.721 0.085360 .  
## party_fe175             4.027e-01  3.370e-01   1.195 0.232172    
## party_fe176             5.430e-01  3.376e-01   1.608 0.107870    
## party_fe177             1.374e-01  2.075e-01   0.662 0.507972    
## party_fe178             1.658e-01  1.589e-01   1.043 0.296957    
## party_fe179            -8.417e-02  1.584e-01  -0.531 0.595164    
## party_fe180             4.013e-01  1.598e-01   2.512 0.012071 *  
## party_fe181             4.078e-01  1.595e-01   2.557 0.010612 *  
## party_fe182             6.488e-01  2.479e-01   2.617 0.008920 ** 
## party_fe183             2.578e-01  1.837e-01   1.403 0.160800    
## party_fe184             2.284e-01  1.581e-01   1.444 0.148767    
## party_fe185             3.948e-02  1.835e-01   0.215 0.829709    
## party_fe186             1.607e-01  1.579e-01   1.018 0.308933    
## party_fe187             4.897e-01  1.695e-01   2.889 0.003893 ** 
## party_fe188             5.408e-01  1.693e-01   3.194 0.001420 ** 
## party_fe189             2.532e-01  3.393e-01   0.746 0.455602    
## party_fe190             2.890e-01  3.394e-01   0.851 0.394591    
## party_fe191             1.699e-01  3.392e-01   0.501 0.616419    
## party_fe192             3.245e-01  3.395e-01   0.956 0.339281    
## party_fe193             3.271e-01  3.395e-01   0.964 0.335313    
## party_fe194             3.609e-01  3.396e-01   1.063 0.287910    
## party_fe195             2.799e-01  3.407e-01   0.821 0.411504    
## party_fe196             4.074e-01  1.653e-01   2.465 0.013778 *  
## party_fe197             3.747e-01  1.656e-01   2.262 0.023759 *  
## party_fe198             1.404e-01  2.506e-01   0.560 0.575340    
## party_fe199             3.347e-01  2.538e-01   1.319 0.187359    
## party_fe200             3.167e-01  2.535e-01   1.249 0.211714    
## party_fe201             1.774e-01  3.362e-01   0.528 0.597776    
## party_fe202             2.190e-01  3.363e-01   0.651 0.515017    
## party_fe203            -3.408e-02  1.576e-01  -0.216 0.828869    
## party_fe204             5.372e-01  3.373e-01   1.593 0.111358    
## party_fe205             5.697e-01  1.613e-01   3.531 0.000422 ***
## party_fe206             1.493e-01  1.592e-01   0.938 0.348383    
## party_fe207             4.850e-01  1.848e-01   2.625 0.008730 ** 
## party_fe208             3.455e-01  1.589e-01   2.175 0.029759 *  
## party_fe209             1.786e-01  1.595e-01   1.120 0.262834    
## party_fe210             2.352e-01  1.597e-01   1.473 0.140870    
## party_fe211             3.451e-01  1.593e-01   2.166 0.030428 *  
## party_fe212             1.684e-01  2.463e-01   0.684 0.494180    
## party_fe213             3.076e-01  1.598e-01   1.925 0.054399 .  
## party_fe214             2.399e-01  1.596e-01   1.503 0.132907    
## party_fe215             4.481e-01  1.608e-01   2.787 0.005368 ** 
## lag_rile:lag_econ_glob -3.313e-03  8.881e-04  -3.730 0.000195 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.324 on 2465 degrees of freedom
## Multiple R-squared:  0.8884, Adjusted R-squared:  0.877 
## F-statistic: 77.85 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb133"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb133-1" data-line-number="1"><span class="kw">stargazer</span>(model2) </a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:07
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 1.007$^{***}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.019 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.016$^{***}$ \\ 
##   &amp; (0.005) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.002$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.033 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.008 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.036 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.106 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.112$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.079 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.106 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.035 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.131$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.144$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.032 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.073 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.067 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.104 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.100 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.172$^{**}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.133$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.128$^{*}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.056 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.056 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.089 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.070 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.052 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.096 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.055 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.023 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.042 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.010 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.025 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.046 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.098 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.031 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.310$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.511$^{***}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.088 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.023 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.156 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.211 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.380$^{***}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.173 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.052 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.175 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.076 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.138 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.042 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.434$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.117 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.509$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.438$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.434$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.642$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.002 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.233$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.062 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.149 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.361$^{*}$ \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.242$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.089 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.179$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.272$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.068 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.022 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.119 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.368$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.382$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.170 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.322$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.202 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.177 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.917$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.148 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.185$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.109 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.105 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.093 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.454$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.128 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.229$^{**}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.153 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.624$^{***}$ \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.232 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.581$^{***}$ \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.082 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.038 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.168 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.035 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.401$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.250 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.058 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.142 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; 0.0004 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.247 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.062 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.031 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.242 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.192 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.313$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.333$^{**}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.255$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.167 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.598$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.459$^{*}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.139 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.187 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.119 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.034 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.025 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.102 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.200$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.103 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.513$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.236$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.630$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.106 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.269$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.445$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.187 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.300 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.300$^{**}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.581$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.479$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.332 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.699$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.163 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.682$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.767$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.479$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.463$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.404$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; 0.002 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.018 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.057 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.193 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.023 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.222$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.183 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.065 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.178 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.037 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; 0.014 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; 0.039 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.211$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.403$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.244$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.390$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.014 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.036 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.012 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.111 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.018 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.335$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.461$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.058 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.068 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.037 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.030 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.076 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.379$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.134 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.020 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.00002 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.276$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.918$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.264$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.198 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.175 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.073 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.186 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.177$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.473$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.258$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.033 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.162 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.072 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.024 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.319$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.271$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.116 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.113 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.082 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.190 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.217 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.069 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.162 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.433$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.433$^{**}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.421$^{**}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.230 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.142 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.030 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.440$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.317$^{*}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.403 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.543 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.137 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.166 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.084 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.401$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.408$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.649$^{***}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.258 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.228 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.039 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.161 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.490$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.541$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.253 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.289 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.170 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.324 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.327 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.361 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.280 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.375$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.140 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.335 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.317 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.177 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.219 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.034 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.537 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.570$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.149 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.485$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.345$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.179 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.235 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.345$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.168 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.308$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.240 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.448$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  lag\_rile:lag\_econ\_glob &amp; $-$0.003$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.290 \\ 
##   &amp; (0.451) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.852$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb135"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb135-1" data-line-number="1"><span class="co"># Model 3 in Table S9 </span></a>
<a class="sourceLine" id="cb135-2" data-line-number="2"></a>
<a class="sourceLine" id="cb135-3" data-line-number="3">model3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + lag_econ_glob*lag_rile + spdiffgroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb135-4" data-line-number="4"></a>
<a class="sourceLine" id="cb135-5" data-line-number="5">model3 &lt;-<span class="st"> </span><span class="kw">lm</span>(model3, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb135-6" data-line-number="6"><span class="kw">summary</span>(model3)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model3, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93521 -0.09663 -0.00179  0.11110  2.11625 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -0.2645696  0.4519096  -0.585 0.558300    
## lag_rile                1.0076791  0.0694991  14.499  &lt; 2e-16 ***
## lag_cmedian             0.0165714  0.0375873   0.441 0.659340    
## lag_econ_glob           0.0151525  0.0054219   2.795 0.005235 ** 
## spdiffgroup_ruled       0.0001336  0.0002833   0.472 0.637141    
## year_fe2                0.0333902  0.0673364   0.496 0.620030    
## year_fe3                0.0140330  0.0667865   0.210 0.833594    
## year_fe4                0.0436320  0.0671431   0.650 0.515858    
## year_fe5                0.1123493  0.0672186   1.671 0.094769 .  
## year_fe6                0.1195605  0.0672054   1.779 0.075358 .  
## year_fe7                0.0859823  0.0674142   1.275 0.202276    
## year_fe8                0.1111034  0.0666405   1.667 0.095600 .  
## year_fe9                0.0407664  0.0674491   0.604 0.545632    
## year_fe10               0.1374563  0.0652033   2.108 0.035121 *  
## year_fe11               0.1261168  0.0651776   1.935 0.053108 .  
## year_fe12               0.1260815  0.0649676   1.941 0.052411 .  
## year_fe13               0.1541059  0.0656476   2.347 0.018980 *  
## year_fe14               0.1284830  0.0670496   1.916 0.055450 .  
## year_fe15              -0.0191841  0.0682383  -0.281 0.778631    
## year_fe16               0.0885932  0.0696346   1.272 0.203402    
## year_fe17               0.0840805  0.0695689   1.209 0.226936    
## year_fe18               0.1285287  0.0716772   1.793 0.073070 .  
## year_fe19               0.1245009  0.0731193   1.703 0.088749 .  
## year_fe20               0.1953658  0.0718410   2.719 0.006586 ** 
## year_fe21               0.1568043  0.0737835   2.125 0.033670 *  
## year_fe22               0.1545638  0.0774459   1.996 0.046069 *  
## year_fe23               0.1009991  0.0825077   1.224 0.221025    
## year_fe24               0.1026692  0.0831571   1.235 0.217081    
## year_fe25               0.1336437  0.0876335   1.525 0.127380    
## year_fe26               0.1114321  0.0862753   1.292 0.196621    
## year_fe27               0.0829300  0.0828175   1.001 0.316752    
## year_fe28               0.1268264  0.0829809   1.528 0.126546    
## year_fe29               0.0834113  0.0828173   1.007 0.313951    
## year_fe30               0.0523008  0.0797257   0.656 0.511879    
## year_fe31               0.0707576  0.0811737   0.872 0.383467    
## year_fe32               0.0408204  0.0828038   0.493 0.622072    
## year_fe33               0.0635938  0.0826179   0.770 0.441531    
## year_fe34               0.0799488  0.0820566   0.974 0.329996    
## party_fe2              -0.1066438  0.1188138  -0.898 0.369502    
## party_fe3               0.0126843  0.1190172   0.107 0.915134    
## party_fe4               0.3538232  0.1209232   2.926 0.003465 ** 
## party_fe5               0.3352384  0.1201601   2.790 0.005312 ** 
## party_fe6               0.5340771  0.1241271   4.303 1.75e-05 ***
## party_fe7              -0.0826190  0.1452576  -0.569 0.569560    
## party_fe8               0.0278204  0.1450783   0.192 0.847945    
## party_fe9               0.1594665  0.1449477   1.100 0.271367    
## party_fe10              0.2134549  0.1449757   1.472 0.141054    
## party_fe11              0.3806322  0.1455803   2.615 0.008988 ** 
## party_fe12              0.1690343  0.2082356   0.812 0.417016    
## party_fe13             -0.0344301  0.1351531  -0.255 0.798939    
## party_fe14             -0.1555035  0.1320292  -1.178 0.238992    
## party_fe15             -0.0767174  0.1198917  -0.640 0.522304    
## party_fe16             -0.1334381  0.1015890  -1.314 0.189134    
## party_fe17              0.0874791  0.1016025   0.861 0.389325    
## party_fe18              0.4419846  0.1098199   4.025 5.88e-05 ***
## party_fe19              0.1292409  0.1019238   1.268 0.204913    
## party_fe20              0.5273023  0.1054695   5.000 6.15e-07 ***
## party_fe21              0.4431307  0.1075785   4.119 3.93e-05 ***
## party_fe22              0.4584012  0.1045009   4.387 1.20e-05 ***
## party_fe23              0.6333020  0.1332050   4.754 2.11e-06 ***
## party_fe24             -0.0053598  0.1182178  -0.045 0.963841    
## party_fe25             -0.2424688  0.1183896  -2.048 0.040660 *  
## party_fe26             -0.0078263  0.1182757  -0.066 0.947248    
## party_fe27              0.1504278  0.3394529   0.443 0.657698    
## party_fe28              0.3603845  0.2091542   1.723 0.085004 .  
## party_fe29              0.2773890  0.1207052   2.298 0.021641 *  
## party_fe30              0.2745398  0.1200024   2.288 0.022234 *  
## party_fe31              0.0937179  0.1052924   0.890 0.373514    
## party_fe32              0.1825241  0.1055355   1.730 0.083844 .  
## party_fe33              0.2724798  0.1598937   1.704 0.088483 .  
## party_fe34              0.1130381  0.1055665   1.071 0.284375    
## party_fe35              0.0251753  0.1035407   0.243 0.807914    
## party_fe36              0.1166230  0.2469626   0.472 0.636805    
## party_fe37              0.3974913  0.1051227   3.781 0.000160 ***
## party_fe38              0.4002552  0.1194866   3.350 0.000821 ***
## party_fe39              0.1763705  0.2077092   0.849 0.395896    
## party_fe40              0.3442535  0.1874519   1.836 0.066406 .  
## party_fe41              0.1904301  0.2089201   0.911 0.362123    
## party_fe42              0.1785813  0.1519445   1.175 0.239986    
## party_fe43              0.9079236  0.2133417   4.256 2.16e-05 ***
## party_fe44              0.3482069  0.1042638   3.340 0.000851 ***
## party_fe45              0.1833582  0.1033284   1.775 0.076101 .  
## party_fe46              0.1859909  0.1113385   1.670 0.094948 .  
## party_fe47              0.1080160  0.1204467   0.897 0.369916    
## party_fe48              0.1282430  0.1295424   0.990 0.322286    
## party_fe49              0.1419473  0.1029452   1.379 0.168062    
## party_fe50              0.2220028  0.1032130   2.151 0.031580 *  
## party_fe51              0.4702698  0.1063038   4.424 1.01e-05 ***
## party_fe52             -0.1259361  0.2081966  -0.605 0.545307    
## party_fe53              0.2622293  0.1043284   2.513 0.012017 *  
## party_fe54              0.1754609  0.1857567   0.945 0.344969    
## party_fe55              0.6205535  0.1488293   4.170 3.16e-05 ***
## party_fe56              0.2317296  0.2090373   1.109 0.267730    
## party_fe57              0.5729738  0.1923714   2.978 0.002925 ** 
## party_fe58              0.1020918  0.1889662   0.540 0.589063    
## party_fe59             -0.0130924  0.1455790  -0.090 0.928348    
## party_fe60              0.1681147  0.1403233   1.198 0.231012    
## party_fe61              0.0385870  0.1604490   0.240 0.809968    
## party_fe62             -0.3703672  0.1294830  -2.860 0.004267 ** 
## party_fe63             -0.2465653  0.3393050  -0.727 0.467492    
## party_fe64             -0.0052901  0.1074240  -0.049 0.960728    
## party_fe65              0.3070286  0.1083639   2.833 0.004644 ** 
## party_fe66              0.1784104  0.1074146   1.661 0.096850 .  
## party_fe67             -0.0110070  0.1234032  -0.089 0.928934    
## party_fe68              0.2244494  0.1913188   1.173 0.240841    
## party_fe69             -0.0736189  0.1144352  -0.643 0.520074    
## party_fe70              0.0677336  0.1132359   0.598 0.549786    
## party_fe71              0.2497412  0.3439638   0.726 0.467866    
## party_fe72              0.2001888  0.3442600   0.582 0.560954    
## party_fe73              0.3102751  0.1196620   2.593 0.009573 ** 
## party_fe74              0.3365587  0.1301912   2.585 0.009792 ** 
## party_fe75              0.2682387  0.1128131   2.378 0.017496 *  
## party_fe76              0.1571793  0.1498390   1.049 0.294287    
## party_fe77              0.5829103  0.1206213   4.833 1.43e-06 ***
## party_fe78              0.4441381  0.2506249   1.772 0.076498 .  
## party_fe79              0.1352014  0.1278347   1.058 0.290330    
## party_fe80              0.1778912  0.1879238   0.947 0.343929    
## party_fe81              0.1249863  0.1457685   0.857 0.391291    
## party_fe82              0.0397770  0.1541162   0.258 0.796353    
## party_fe83             -0.0404921  0.1229325  -0.329 0.741893    
## party_fe84              0.0881325  0.1603178   0.550 0.582550    
## party_fe85              0.1881736  0.1126848   1.670 0.095064 .  
## party_fe86              0.0982182  0.3385401   0.290 0.771747    
## party_fe87              0.5103918  0.1210836   4.215 2.59e-05 ***
## party_fe88              0.2481840  0.1239397   2.002 0.045345 *  
## party_fe89              0.6135804  0.1888835   3.248 0.001176 ** 
## party_fe90              0.0976102  0.1622301   0.602 0.547444    
## party_fe91              0.2730091  0.1276035   2.140 0.032492 *  
## party_fe92              0.4472476  0.1284298   3.482 0.000506 ***
## party_fe93              0.3343767  0.1278848   2.615 0.008986 ** 
## party_fe94              0.1778912  0.1879238   0.947 0.343929    
## party_fe95              0.2862208  0.2500808   1.145 0.252522    
## party_fe96              0.3246929  0.1170623   2.774 0.005584 ** 
## party_fe97              0.6070111  0.1877823   3.233 0.001243 ** 
## party_fe98              0.4662034  0.1889428   2.467 0.013676 *  
## party_fe99              0.3257960  0.3397510   0.959 0.337690    
## party_fe100             0.6863781  0.1627908   4.216 2.57e-05 ***
## party_fe101            -0.1754940  0.1894607  -0.926 0.354390    
## party_fe102             0.6997838  0.1306929   5.354 9.38e-08 ***
## party_fe103             0.7551240  0.1638550   4.608 4.26e-06 ***
## party_fe104             0.4662034  0.1889428   2.467 0.013676 *  
## party_fe105             0.4556623  0.1120456   4.067 4.92e-05 ***
## party_fe106             0.3908660  0.1192965   3.276 0.001066 ** 
## party_fe107             0.2943935  0.1432084   2.056 0.039917 *  
## party_fe108            -0.0121031  0.1136503  -0.106 0.915199    
## party_fe109             0.0564820  0.1129131   0.500 0.616961    
## party_fe110             0.0613063  0.2139521   0.287 0.774487    
## party_fe111             0.1969894  0.2521660   0.781 0.434766    
## party_fe112             0.0547443  0.1423519   0.385 0.700589    
## party_fe113             0.2525015  0.1132110   2.230 0.025813 *  
## party_fe114             0.1974391  0.1129491   1.748 0.080582 .  
## party_fe115             0.0612996  0.2498294   0.245 0.806193    
## party_fe116             0.1670310  0.1177780   1.418 0.156263    
## party_fe117             0.0236176  0.1376898   0.172 0.863823    
## party_fe118             0.0474735  0.1143388   0.415 0.678032    
## party_fe119             0.0236223  0.2113036   0.112 0.910996    
## party_fe120             0.2242434  0.1143411   1.961 0.049971 *  
## party_fe121             0.3921167  0.1657712   2.365 0.018087 *  
## party_fe122             0.2431721  0.1277942   1.903 0.057178 .  
## party_fe123             0.3993589  0.1731550   2.306 0.021173 *  
## party_fe124            -0.0203670  0.1328007  -0.153 0.878123    
## party_fe125             0.0244744  0.1092548   0.224 0.822766    
## party_fe126            -0.0162950  0.1196894  -0.136 0.891719    
## party_fe127            -0.0966026  0.3397855  -0.284 0.776201    
## party_fe128             0.0603818  0.1094711   0.552 0.581288    
## party_fe129             0.3423261  0.1737310   1.970 0.048900 *  
## party_fe130             0.2481230  0.1098751   2.258 0.024019 *  
## party_fe131             0.4667504  0.2121009   2.201 0.027856 *  
## party_fe132             0.2538178  0.1117974   2.270 0.023273 *  
## party_fe133             0.0491760  0.1121337   0.439 0.661027    
## party_fe134            -0.0777146  0.1281886  -0.606 0.544404    
## party_fe135            -0.0414873  0.2098772  -0.198 0.843316    
## party_fe136             0.0187264  0.3402350   0.055 0.956111    
## party_fe137             0.1134150  0.1088582   1.042 0.297579    
## party_fe138             0.2674963  0.1087149   2.461 0.013941 *  
## party_fe139             0.3961279  0.1096916   3.611 0.000311 ***
## party_fe140             0.1281497  0.1194237   1.073 0.283346    
## party_fe141             0.0175750  0.1704719   0.103 0.917895    
## party_fe142             0.0539005  0.1191426   0.452 0.651018    
## party_fe143             0.2679064  0.1233474   2.172 0.029953 *  
## party_fe144             0.9101039  0.2125981   4.281 1.93e-05 ***
## party_fe145             0.2932846  0.1208048   2.428 0.015264 *  
## party_fe146             0.1930695  0.1856439   1.040 0.298442    
## party_fe147             0.1619121  0.1533543   1.056 0.291161    
## party_fe148             0.1152157  0.1031438   1.117 0.264087    
## party_fe149             0.2008754  0.1447073   1.388 0.165217    
## party_fe150             0.1806916  0.1044977   1.729 0.083909 .  
## party_fe151             0.4954496  0.1054959   4.696 2.79e-06 ***
## party_fe152             0.2498403  0.1304469   1.915 0.055574 .  
## party_fe153             0.0373203  0.1119393   0.333 0.738862    
## party_fe154            -0.1393121  0.1326821  -1.050 0.293835    
## party_fe155             0.0746877  0.1403645   0.532 0.594706    
## party_fe156             0.0283407  0.1029419   0.275 0.783103    
## party_fe157             0.3374938  0.1112190   3.034 0.002435 ** 
## party_fe158             0.2966782  0.1042750   2.845 0.004476 ** 
## party_fe159             0.1202346  0.1037399   1.159 0.246568    
## party_fe160             0.1147424  0.3375977   0.340 0.733977    
## party_fe161             0.0838806  0.3375847   0.248 0.803789    
## party_fe162             0.1908090  0.3376687   0.565 0.572072    
## party_fe163             0.2180095  0.3377075   0.646 0.518626    
## party_fe164             0.0621294  0.2107988   0.295 0.768222    
## party_fe165            -0.1689927  0.1890239  -0.894 0.371394    
## party_fe166             0.4229694  0.1896824   2.230 0.025845 *  
## party_fe167             0.4232436  0.2113020   2.003 0.045284 *  
## party_fe168             0.4112263  0.2112537   1.947 0.051696 .  
## party_fe169             0.2217569  0.1890559   1.173 0.240921    
## party_fe170             0.1375605  0.1863040   0.738 0.460363    
## party_fe171            -0.0370021  0.1585970  -0.233 0.815541    
## party_fe172             0.1625401  0.1592690   1.021 0.307573    
## party_fe173             0.4303145  0.1624970   2.648 0.008145 ** 
## party_fe174             0.3252541  0.1849358   1.759 0.078746 .  
## party_fe175             0.4012193  0.3382401   1.186 0.235659    
## party_fe176             0.5401033  0.3387747   1.594 0.111000    
## party_fe177             0.1358623  0.2096403   0.648 0.516998    
## party_fe178             0.1927110  0.1599086   1.205 0.228268    
## party_fe179            -0.0832107  0.1606410  -0.518 0.604510    
## party_fe180             0.4149941  0.1606241   2.584 0.009834 ** 
## party_fe181             0.4067062  0.1615418   2.518 0.011877 *  
## party_fe182             0.6475793  0.2491449   2.599 0.009400 ** 
## party_fe183             0.2560916  0.1858076   1.378 0.168247    
## party_fe184             0.2503453  0.1590742   1.574 0.115670    
## party_fe185             0.0388128  0.1856628   0.209 0.834427    
## party_fe186             0.1592024  0.1600590   0.995 0.320005    
## party_fe187             0.4869425  0.1712577   2.843 0.004501 ** 
## party_fe188             0.5382717  0.1711102   3.146 0.001676 ** 
## party_fe189             0.2502686  0.3406036   0.735 0.462543    
## party_fe190             0.2856890  0.3406609   0.839 0.401757    
## party_fe191             0.1678056  0.3405084   0.493 0.622192    
## party_fe192             0.3208149  0.3407274   0.942 0.346511    
## party_fe193             0.3234710  0.3407329   0.949 0.342541    
## party_fe194             0.3569347  0.3408060   1.047 0.295052    
## party_fe195             0.2716254  0.3418788   0.795 0.426976    
## party_fe196             0.4091450  0.1661231   2.463 0.013850 *  
## party_fe197             0.3603555  0.1660703   2.170 0.030110 *  
## party_fe198             0.1315657  0.2518919   0.522 0.601501    
## party_fe199             0.3650043  0.2538095   1.438 0.150532    
## party_fe200             0.3013107  0.2554669   1.179 0.238332    
## party_fe201             0.1766140  0.3375472   0.523 0.600863    
## party_fe202             0.2177734  0.3375988   0.645 0.518945    
## party_fe203            -0.0119194  0.1587342  -0.075 0.940149    
## party_fe204             0.5329661  0.3385000   1.574 0.115502    
## party_fe205             0.5684688  0.1620556   3.508 0.000460 ***
## party_fe206             0.1501448  0.1599820   0.939 0.348074    
## party_fe207             0.4683817  0.1849536   2.532 0.011389 *  
## party_fe208             0.3395019  0.1608586   2.111 0.034911 *  
## party_fe209             0.1715851  0.1615451   1.062 0.288272    
## party_fe210             0.2276855  0.1616853   1.408 0.159198    
## party_fe211             0.3563954  0.1602715   2.224 0.026259 *  
## party_fe212             0.1570181  0.2483353   0.632 0.527261    
## party_fe213             0.2997235  0.1618139   1.852 0.064106 .  
## party_fe214             0.2325701  0.1616374   1.439 0.150323    
## party_fe215             0.4386138  0.1627327   2.695 0.007080 ** 
## lag_rile:lag_econ_glob -0.0032844  0.0008925  -3.680 0.000238 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3244 on 2465 degrees of freedom
## Multiple R-squared:  0.8881, Adjusted R-squared:  0.8767 
## F-statistic: 77.64 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb137"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb137-1" data-line-number="1"><span class="kw">stargazer</span>(model3) </a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:07
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 1.008$^{***}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.017 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.015$^{***}$ \\ 
##   &amp; (0.005) \\ 
##   &amp; \\ 
##  spdiffgroup\_ruled &amp; 0.0001 \\ 
##   &amp; (0.0003) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.033 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.014 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.044 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.112$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.120$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.086 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.111$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.126$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.126$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.154$^{**}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.128$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.019 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.089 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.084 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.129$^{*}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.125$^{*}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.195$^{***}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.157$^{**}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.155$^{**}$ \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.101 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.103 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.134 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.111 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.083 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.127 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.083 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.052 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.071 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.041 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.064 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.080 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.107 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.013 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.354$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.335$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.534$^{***}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.083 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.028 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.159 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.213 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.381$^{***}$ \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.169 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.034 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.156 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.077 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.133 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.087 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.129 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.527$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.443$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.458$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.633$^{***}$ \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.005 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.242$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.008 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.150 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.360$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.277$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.094 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.272$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.113 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.025 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.117 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.397$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.176 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.344$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.190 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.179 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.908$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.348$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.186$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.108 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.128 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.142 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.222$^{**}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.470$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.126 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.262$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.175 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.621$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.232 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.573$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.102 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.013 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.168 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.039 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.370$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.247 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.005 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.307$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.178$^{*}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.011 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.224 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.074 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.068 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.250 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.200 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.337$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.157 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.583$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.444$^{*}$ \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.135 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.178 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.125 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.040 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.040 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.088 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.188$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.098 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.510$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.614$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.098 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.273$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.447$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.334$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.178 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.286 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.325$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.607$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.466$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.326 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.686$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.175 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.700$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.755$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.466$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.456$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.391$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.294$^{**}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.012 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.056 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.061 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.197 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.055 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.061 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.167 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.024 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; 0.047 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; 0.024 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.224$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.392$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.243$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.399$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.020 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.024 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.016 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.097 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.060 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.342$^{**}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.248$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.467$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.049 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.078 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.041 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.019 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.113 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.267$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.128 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.018 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.054 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.910$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.193 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.162 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.115 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.201 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.250$^{*}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.037 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.139 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.075 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.028 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.337$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.297$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.120 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.115 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.084 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.191 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.218 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.062 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.169 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.423$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.423$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.411$^{*}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.222 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.138 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.037 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.163 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.325$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.401 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.540 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.136 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.193 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.083 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.648$^{***}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.256 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.250 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.039 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.159 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.487$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.538$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.250 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.286 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.168 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.321 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.323 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.357 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.272 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.409$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.360$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.132 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.365 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.301 \\ 
##   &amp; (0.255) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.177 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.218 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.012 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.533 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.568$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.150 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.468$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.340$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.172 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.228 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.356$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.157 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.300$^{*}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.233 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.439$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  lag\_rile:lag\_econ\_glob &amp; $-$0.003$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.265 \\ 
##   &amp; (0.452) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2465) \\ 
## F Statistic &amp; 77.636$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb139"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb139-1" data-line-number="1"><span class="co"># Model 4 in Table S9 </span></a>
<a class="sourceLine" id="cb139-2" data-line-number="2"></a>
<a class="sourceLine" id="cb139-3" data-line-number="3">model4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + lag_econ_glob*lag_rile + spsamegroup_ruled + spdiffgroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb139-4" data-line-number="4"></a>
<a class="sourceLine" id="cb139-5" data-line-number="5">model4 &lt;-<span class="st"> </span><span class="kw">lm</span>(model4, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb139-6" data-line-number="6"><span class="kw">summary</span>(model4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model4, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92615 -0.09778 -0.00056  0.11174  2.10611 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -2.842e-01  4.515e-01  -0.630 0.529073    
## lag_rile                1.006e+00  6.943e-02  14.493  &lt; 2e-16 ***
## lag_cmedian             1.925e-02  3.756e-02   0.512 0.608425    
## lag_econ_glob           1.568e-02  5.420e-03   2.892 0.003856 ** 
## spsamegroup_ruled       1.676e-03  6.767e-04   2.477 0.013321 *  
## spdiffgroup_ruled       6.479e-05  2.843e-04   0.228 0.819786    
## year_fe2                3.308e-02  6.727e-02   0.492 0.622927    
## year_fe3                7.025e-03  6.678e-02   0.105 0.916228    
## year_fe4                3.459e-02  6.717e-02   0.515 0.606626    
## year_fe5                1.056e-01  6.720e-02   1.572 0.116134    
## year_fe6                1.120e-01  6.720e-02   1.667 0.095664 .  
## year_fe7                7.894e-02  6.740e-02   1.171 0.241681    
## year_fe8                1.050e-01  6.662e-02   1.576 0.115045    
## year_fe9                3.327e-02  6.745e-02   0.493 0.621864    
## year_fe10               1.298e-01  6.521e-02   1.991 0.046599 *  
## year_fe11               1.166e-01  6.522e-02   1.788 0.073954 .  
## year_fe12               1.166e-01  6.501e-02   1.794 0.072976 .  
## year_fe13               1.428e-01  6.574e-02   2.173 0.029875 *  
## year_fe14               1.184e-01  6.710e-02   1.765 0.077659 .  
## year_fe15              -3.414e-02  6.843e-02  -0.499 0.617919    
## year_fe16               7.029e-02  6.995e-02   1.005 0.315087    
## year_fe17               6.457e-02  6.994e-02   0.923 0.356017    
## year_fe18               1.016e-01  7.242e-02   1.403 0.160688    
## year_fe19               9.732e-02  7.386e-02   1.318 0.187773    
## year_fe20               1.692e-01  7.254e-02   2.333 0.019719 *  
## year_fe21               1.303e-01  7.448e-02   1.749 0.080351 .  
## year_fe22               1.249e-01  7.829e-02   1.595 0.110735    
## year_fe23               5.108e-02  8.485e-02   0.602 0.547256    
## year_fe24               5.095e-02  8.565e-02   0.595 0.551979    
## year_fe25               8.375e-02  8.983e-02   0.932 0.351265    
## year_fe26               6.449e-02  8.825e-02   0.731 0.464990    
## year_fe27               4.716e-02  8.398e-02   0.562 0.574455    
## year_fe28               9.157e-02  8.411e-02   1.089 0.276371    
## year_fe29               5.045e-02  8.379e-02   0.602 0.547224    
## year_fe30               1.939e-02  8.074e-02   0.240 0.810236    
## year_fe31               3.818e-02  8.215e-02   0.465 0.642132    
## year_fe32               6.911e-03  8.384e-02   0.082 0.934314    
## year_fe33               1.906e-02  8.447e-02   0.226 0.821521    
## year_fe34               4.049e-02  8.350e-02   0.485 0.627787    
## party_fe2              -9.863e-02  1.187e-01  -0.831 0.406246    
## party_fe3              -2.940e-02  1.201e-01  -0.245 0.806661    
## party_fe4               3.366e-01  1.210e-01   2.782 0.005447 ** 
## party_fe5               3.106e-01  1.204e-01   2.579 0.009961 ** 
## party_fe6               5.120e-01  1.243e-01   4.119 3.94e-05 ***
## party_fe7              -8.375e-02  1.451e-01  -0.577 0.563896    
## party_fe8               2.727e-02  1.449e-01   0.188 0.850746    
## party_fe9               1.604e-01  1.448e-01   1.108 0.268018    
## party_fe10              2.147e-01  1.448e-01   1.482 0.138353    
## party_fe11              3.838e-01  1.454e-01   2.639 0.008374 ** 
## party_fe12              1.794e-01  2.081e-01   0.862 0.388669    
## party_fe13             -5.070e-02  1.352e-01  -0.375 0.707627    
## party_fe14             -1.728e-01  1.321e-01  -1.308 0.190837    
## party_fe15             -7.039e-02  1.198e-01  -0.588 0.556861    
## party_fe16             -1.388e-01  1.015e-01  -1.368 0.171566    
## party_fe17              4.333e-02  1.031e-01   0.420 0.674200    
## party_fe18              4.355e-01  1.097e-01   3.968 7.44e-05 ***
## party_fe19              1.179e-01  1.019e-01   1.157 0.247409    
## party_fe20              5.086e-01  1.056e-01   4.815 1.56e-06 ***
## party_fe21              4.419e-01  1.075e-01   4.112 4.05e-05 ***
## party_fe22              4.345e-01  1.048e-01   4.145 3.51e-05 ***
## party_fe23              6.481e-01  1.332e-01   4.865 1.21e-06 ***
## party_fe24              9.152e-04  1.181e-01   0.008 0.993818    
## party_fe25             -2.325e-01  1.183e-01  -1.965 0.049519 *  
## party_fe26             -6.031e-02  1.200e-01  -0.502 0.615386    
## party_fe27              1.533e-01  3.391e-01   0.452 0.651176    
## party_fe28              3.649e-01  2.089e-01   1.747 0.080838 .  
## party_fe29              2.612e-01  1.208e-01   2.163 0.030655 *  
## party_fe30              2.426e-01  1.206e-01   2.013 0.044269 *  
## party_fe31              8.905e-02  1.052e-01   0.846 0.397387    
## party_fe32              1.789e-01  1.054e-01   1.697 0.089914 .  
## party_fe33              2.778e-01  1.597e-01   1.739 0.082141 .  
## party_fe34              6.865e-02  1.070e-01   0.642 0.521073    
## party_fe35             -2.035e-02  1.051e-01  -0.194 0.846453    
## party_fe36              1.252e-01  2.467e-01   0.508 0.611775    
## party_fe37              3.682e-01  1.057e-01   3.484 0.000503 ***
## party_fe38              3.840e-01  1.195e-01   3.212 0.001334 ** 
## party_fe39              1.742e-01  2.075e-01   0.840 0.401199    
## party_fe40              3.237e-01  1.874e-01   1.727 0.084329 .  
## party_fe41              2.090e-01  2.088e-01   1.001 0.317069    
## party_fe42              1.828e-01  1.518e-01   1.204 0.228555    
## party_fe43              9.224e-01  2.132e-01   4.327 1.57e-05 ***
## party_fe44              3.230e-01  1.047e-01   3.086 0.002049 ** 
## party_fe45              1.498e-01  1.041e-01   1.439 0.150248    
## party_fe46              1.843e-01  1.112e-01   1.657 0.097733 .  
## party_fe47              1.144e-01  1.203e-01   0.951 0.341791    
## party_fe48              1.073e-01  1.297e-01   0.828 0.407972    
## party_fe49              9.388e-02  1.047e-01   0.897 0.369790    
## party_fe50              1.975e-01  1.036e-01   1.907 0.056670 .  
## party_fe51              4.547e-01  1.064e-01   4.275 1.99e-05 ***
## party_fe52             -1.217e-01  2.080e-01  -0.585 0.558413    
## party_fe53              2.305e-01  1.050e-01   2.195 0.028278 *  
## party_fe54              1.552e-01  1.857e-01   0.835 0.403620    
## party_fe55              6.293e-01  1.487e-01   4.232 2.40e-05 ***
## party_fe56              2.374e-01  2.088e-01   1.137 0.255762    
## party_fe57              5.861e-01  1.922e-01   3.049 0.002321 ** 
## party_fe58              8.538e-02  1.889e-01   0.452 0.651306    
## party_fe59             -3.487e-02  1.457e-01  -0.239 0.810848    
## party_fe60              1.692e-01  1.402e-01   1.207 0.227499    
## party_fe61              4.128e-02  1.603e-01   0.258 0.796786    
## party_fe62             -3.981e-01  1.298e-01  -3.066 0.002190 ** 
## party_fe63             -2.419e-01  3.390e-01  -0.714 0.475566    
## party_fe64             -5.627e-02  1.093e-01  -0.515 0.606630    
## party_fe65              2.751e-01  1.090e-01   2.524 0.011681 *  
## party_fe66              1.426e-01  1.083e-01   1.318 0.187792    
## party_fe67              5.586e-04  1.234e-01   0.005 0.996388    
## party_fe68              2.528e-01  1.915e-01   1.320 0.186887    
## party_fe69             -6.389e-02  1.144e-01  -0.559 0.576532    
## party_fe70              3.128e-02  1.141e-01   0.274 0.783941    
## party_fe71              2.427e-01  3.436e-01   0.706 0.480121    
## party_fe72              1.924e-01  3.439e-01   0.560 0.575833    
## party_fe73              3.166e-01  1.196e-01   2.648 0.008141 ** 
## party_fe74              3.355e-01  1.301e-01   2.580 0.009947 ** 
## party_fe75              2.574e-01  1.128e-01   2.282 0.022560 *  
## party_fe76              1.728e-01  1.498e-01   1.153 0.248829    
## party_fe77              6.016e-01  1.207e-01   4.983 6.70e-07 ***
## party_fe78              4.660e-01  2.505e-01   1.860 0.062985 .  
## party_fe79              1.431e-01  1.277e-01   1.120 0.262708    
## party_fe80              1.934e-01  1.878e-01   1.030 0.303160    
## party_fe81              1.205e-01  1.456e-01   0.827 0.408193    
## party_fe82              3.603e-02  1.540e-01   0.234 0.815004    
## party_fe83             -2.608e-02  1.229e-01  -0.212 0.831993    
## party_fe84              1.035e-01  1.603e-01   0.646 0.518312    
## party_fe85              1.985e-01  1.126e-01   1.762 0.078146 .  
## party_fe86              1.080e-01  3.382e-01   0.319 0.749575    
## party_fe87              5.165e-01  1.210e-01   4.269 2.04e-05 ***
## party_fe88              2.372e-01  1.239e-01   1.914 0.055678 .  
## party_fe89              6.354e-01  1.889e-01   3.364 0.000780 ***
## party_fe90              1.115e-01  1.622e-01   0.688 0.491743    
## party_fe91              2.716e-01  1.275e-01   2.131 0.033224 *  
## party_fe92              4.471e-01  1.283e-01   3.485 0.000501 ***
## party_fe93              3.336e-01  1.278e-01   2.611 0.009074 ** 
## party_fe94              1.934e-01  1.878e-01   1.030 0.303160    
## party_fe95              3.066e-01  2.500e-01   1.227 0.220115    
## party_fe96              3.007e-01  1.173e-01   2.563 0.010442 *  
## party_fe97              5.837e-01  1.878e-01   3.108 0.001905 ** 
## party_fe98              4.845e-01  1.889e-01   2.565 0.010381 *  
## party_fe99              3.359e-01  3.394e-01   0.990 0.322486    
## party_fe100             7.038e-01  1.628e-01   4.324 1.59e-05 ***
## party_fe101            -1.576e-01  1.894e-01  -0.832 0.405429    
## party_fe102             6.840e-01  1.307e-01   5.233 1.81e-07 ***
## party_fe103             7.724e-01  1.638e-01   4.715 2.56e-06 ***
## party_fe104             4.845e-01  1.889e-01   2.565 0.010381 *  
## party_fe105             4.643e-01  1.120e-01   4.146 3.50e-05 ***
## party_fe106             4.054e-01  1.193e-01   3.398 0.000690 ***
## party_fe107             3.093e-01  1.432e-01   2.160 0.030873 *  
## party_fe108             8.005e-04  1.137e-01   0.007 0.994380    
## party_fe109             1.879e-02  1.138e-01   0.165 0.868856    
## party_fe110             6.001e-02  2.137e-01   0.281 0.778892    
## party_fe111             1.961e-01  2.519e-01   0.779 0.436266    
## party_fe112             2.318e-02  1.428e-01   0.162 0.871045    
## party_fe113             2.221e-01  1.138e-01   1.952 0.051037 .  
## party_fe114             1.830e-01  1.130e-01   1.620 0.105453    
## party_fe115             7.075e-02  2.496e-01   0.283 0.776852    
## party_fe116             1.763e-01  1.177e-01   1.498 0.134354    
## party_fe117             3.743e-02  1.377e-01   0.272 0.785726    
## party_fe118             1.438e-02  1.150e-01   0.125 0.900503    
## party_fe119             4.015e-02  2.112e-01   0.190 0.849242    
## party_fe120             2.133e-01  1.143e-01   1.866 0.062174 .  
## party_fe121             4.070e-01  1.657e-01   2.456 0.014105 *  
## party_fe122             2.486e-01  1.277e-01   1.947 0.051681 .  
## party_fe123             3.931e-01  1.730e-01   2.273 0.023139 *  
## party_fe124            -7.742e-03  1.328e-01  -0.058 0.953503    
## party_fe125             3.488e-02  1.092e-01   0.319 0.749510    
## party_fe126            -6.644e-03  1.196e-01  -0.056 0.955713    
## party_fe127            -1.089e-01  3.395e-01  -0.321 0.748381    
## party_fe128             1.890e-02  1.106e-01   0.171 0.864365    
## party_fe129             3.374e-01  1.736e-01   1.944 0.052000 .  
## party_fe130             2.167e-01  1.105e-01   1.961 0.049998 *  
## party_fe131             4.639e-01  2.119e-01   2.190 0.028649 *  
## party_fe132             2.623e-01  1.117e-01   2.348 0.018976 *  
## party_fe133             5.655e-02  1.121e-01   0.505 0.613861    
## party_fe134            -6.683e-02  1.281e-01  -0.522 0.602013    
## party_fe135            -3.215e-02  2.097e-01  -0.153 0.878155    
## party_fe136             3.677e-02  3.400e-01   0.108 0.913884    
## party_fe137             7.719e-02  1.097e-01   0.704 0.481796    
## party_fe138             2.537e-01  1.087e-01   2.333 0.019724 *  
## party_fe139             3.789e-01  1.098e-01   3.451 0.000569 ***
## party_fe140             1.330e-01  1.193e-01   1.115 0.264965    
## party_fe141             2.610e-02  1.703e-01   0.153 0.878205    
## party_fe142             1.403e-03  1.209e-01   0.012 0.990743    
## party_fe143             2.818e-01  1.233e-01   2.285 0.022421 *  
## party_fe144             9.221e-01  2.124e-01   4.341 1.48e-05 ***
## party_fe145             2.646e-01  1.212e-01   2.182 0.029167 *  
## party_fe146             2.037e-01  1.855e-01   1.098 0.272369    
## party_fe147             1.810e-01  1.534e-01   1.180 0.238096    
## party_fe148             7.365e-02  1.044e-01   0.706 0.480537    
## party_fe149             1.883e-01  1.446e-01   1.302 0.193169    
## party_fe150             1.813e-01  1.044e-01   1.737 0.082595 .  
## party_fe151             4.729e-01  1.058e-01   4.470 8.17e-06 ***
## party_fe152             2.633e-01  1.304e-01   2.019 0.043631 *  
## party_fe153             3.597e-02  1.118e-01   0.322 0.747723    
## party_fe154            -1.601e-01  1.328e-01  -1.206 0.228032    
## party_fe155             7.673e-02  1.402e-01   0.547 0.584310    
## party_fe156            -2.306e-02  1.049e-01  -0.220 0.826007    
## party_fe157             3.191e-01  1.114e-01   2.865 0.004201 ** 
## party_fe158             2.706e-01  1.047e-01   2.584 0.009812 ** 
## party_fe159             1.149e-01  1.037e-01   1.108 0.267807    
## party_fe160             1.187e-01  3.373e-01   0.352 0.724823    
## party_fe161             8.760e-02  3.372e-01   0.260 0.795065    
## party_fe162             1.955e-01  3.373e-01   0.579 0.562342    
## party_fe163             2.229e-01  3.374e-01   0.661 0.508863    
## party_fe164             7.368e-02  2.106e-01   0.350 0.726525    
## party_fe165            -1.566e-01  1.889e-01  -0.829 0.407122    
## party_fe166             4.384e-01  1.896e-01   2.312 0.020851 *  
## party_fe167             4.383e-01  2.112e-01   2.076 0.038038 *  
## party_fe168             4.262e-01  2.111e-01   2.019 0.043640 *  
## party_fe169             2.349e-01  1.889e-01   1.243 0.213912    
## party_fe170             1.476e-01  1.862e-01   0.793 0.427822    
## party_fe171            -2.712e-02  1.585e-01  -0.171 0.864119    
## party_fe172             1.428e-01  1.593e-01   0.896 0.370134    
## party_fe173             4.421e-01  1.624e-01   2.722 0.006528 ** 
## party_fe174             3.197e-01  1.848e-01   1.731 0.083640 .  
## party_fe175             4.082e-01  3.379e-01   1.208 0.227194    
## party_fe176             5.483e-01  3.384e-01   1.620 0.105370    
## party_fe177             1.438e-01  2.094e-01   0.686 0.492484    
## party_fe178             1.699e-01  1.600e-01   1.062 0.288302    
## party_fe179            -7.830e-02  1.605e-01  -0.488 0.625687    
## party_fe180             4.048e-01  1.605e-01   2.522 0.011741 *  
## party_fe181             4.134e-01  1.614e-01   2.561 0.010484 *  
## party_fe182             6.538e-01  2.489e-01   2.627 0.008678 ** 
## party_fe183             2.637e-01  1.856e-01   1.421 0.155544    
## party_fe184             2.323e-01  1.591e-01   1.460 0.144351    
## party_fe185             4.556e-02  1.855e-01   0.246 0.806009    
## party_fe186             1.664e-01  1.599e-01   1.041 0.298145    
## party_fe187             4.950e-01  1.711e-01   2.893 0.003849 ** 
## party_fe188             5.462e-01  1.710e-01   3.195 0.001418 ** 
## party_fe189             2.588e-01  3.403e-01   0.760 0.447057    
## party_fe190             2.945e-01  3.403e-01   0.865 0.386921    
## party_fe191             1.755e-01  3.402e-01   0.516 0.605905    
## party_fe192             3.300e-01  3.404e-01   0.969 0.332466    
## party_fe193             3.326e-01  3.404e-01   0.977 0.328561    
## party_fe194             3.664e-01  3.405e-01   1.076 0.281944    
## party_fe195             2.851e-01  3.416e-01   0.835 0.404012    
## party_fe196             4.107e-01  1.660e-01   2.475 0.013399 *  
## party_fe197             3.773e-01  1.660e-01   2.272 0.023152 *  
## party_fe198             1.457e-01  2.517e-01   0.579 0.562683    
## party_fe199             3.351e-01  2.538e-01   1.320 0.186847    
## party_fe200             3.236e-01  2.554e-01   1.267 0.205241    
## party_fe201             1.830e-01  3.372e-01   0.543 0.587326    
## party_fe202             2.246e-01  3.373e-01   0.666 0.505593    
## party_fe203            -2.987e-02  1.587e-01  -0.188 0.850745    
## party_fe204             5.425e-01  3.382e-01   1.604 0.108787    
## party_fe205             5.726e-01  1.619e-01   3.537 0.000412 ***
## party_fe206             1.525e-01  1.598e-01   0.954 0.340229    
## party_fe207             4.862e-01  1.849e-01   2.630 0.008599 ** 
## party_fe208             3.510e-01  1.608e-01   2.184 0.029089 *  
## party_fe209             1.843e-01  1.615e-01   1.141 0.253781    
## party_fe210             2.408e-01  1.616e-01   1.490 0.136282    
## party_fe211             3.486e-01  1.601e-01   2.177 0.029560 *  
## party_fe212             1.753e-01  2.482e-01   0.706 0.480073    
## party_fe213             3.132e-01  1.617e-01   1.936 0.052929 .  
## party_fe214             2.456e-01  1.616e-01   1.520 0.128612    
## party_fe215             4.537e-01  1.627e-01   2.789 0.005331 ** 
## lag_rile:lag_econ_glob -3.296e-03  8.916e-04  -3.696 0.000223 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3241 on 2464 degrees of freedom
## Multiple R-squared:  0.8884, Adjusted R-squared:  0.8769 
## F-statistic: 77.51 on 253 and 2464 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb141"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb141-1" data-line-number="1"><span class="kw">stargazer</span>(model4) </a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:08
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 1.006$^{***}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.019 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.016$^{***}$ \\ 
##   &amp; (0.005) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.002$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  spdiffgroup\_ruled &amp; 0.0001 \\ 
##   &amp; (0.0003) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.033 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.007 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.035 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.106 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.112$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.079 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.105 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.033 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.130$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.117$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.117$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.118$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.034 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.070 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.065 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.102 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.097 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.169$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.130$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.125 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.051 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.051 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.084 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.064 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.047 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.092 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.050 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.019 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.038 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.007 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.019 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.040 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.099 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.029 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.337$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.311$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.512$^{***}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.084 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.027 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.160 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.215 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.384$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.179 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.051 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.173 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.070 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.139 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.043 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.435$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.118 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.509$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.435$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.648$^{***}$ \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.001 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.233$^{**}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.060 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.153 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.365$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.261$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.243$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.089 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.179$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.278$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.069 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.020 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.125 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.368$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.384$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.174 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.324$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.209 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.183 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.922$^{***}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.150 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.184$^{*}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.114 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.107 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.094 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.455$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.122 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.230$^{**}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.155 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.629$^{***}$ \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.237 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.586$^{***}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.085 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.035 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.169 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.041 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.398$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.242 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.056 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.143 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; 0.001 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.253 \\ 
##   &amp; (0.191) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.064 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.031 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.243 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.192 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.317$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.173 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.602$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.466$^{*}$ \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.143 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.193 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.120 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.036 \\ 
##   &amp; (0.154) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.026 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.104 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.199$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.108 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.516$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.237$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.635$^{***}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.112 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.272$^{**}$ \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.447$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.334$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.193 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.307 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.301$^{**}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.584$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.484$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.336 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.704$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.158 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.684$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.772$^{***}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.484$^{**}$ \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.464$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.405$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.309$^{**}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; 0.001 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.019 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.060 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.196 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.023 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.222$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.183 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.071 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.176 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.037 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; 0.014 \\ 
##   &amp; (0.115) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; 0.040 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.213$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.249$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.393$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.008 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.035 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.007 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.109 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.019 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.337$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.217$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.464$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.262$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.057 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.067 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.032 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; 0.037 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.077 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.379$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.133 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.026 \\ 
##   &amp; (0.170) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.001 \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.282$^{**}$ \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.922$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.265$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.204 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.181 \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.074 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.188 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.181$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.473$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.263$^{**}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.036 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.160 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.077 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.023 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.319$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.271$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.115 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.119 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.088 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.195 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.223 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.074 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.157 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.438$^{**}$ \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.438$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.426$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.235 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.148 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.027 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.143 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.442$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.320$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.408 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.548 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.144 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.170 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.078 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.405$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.413$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.654$^{***}$ \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.264 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.232 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.046 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.166 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.546$^{***}$ \\ 
##   &amp; (0.171) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.259 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.295 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.176 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.330 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.333 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.366 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.285 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.411$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.377$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.146 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.335 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.324 \\ 
##   &amp; (0.255) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.183 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.225 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.030 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.543 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.573$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.152 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.351$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.184 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.241 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.349$^{**}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.175 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.313$^{*}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.246 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.454$^{***}$ \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  lag\_rile:lag\_econ\_glob &amp; $-$0.003$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.284 \\ 
##   &amp; (0.452) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.877 \\ 
## Residual Std. Error &amp; 0.324 (df = 2464) \\ 
## F Statistic &amp; 77.515$^{***}$ (df = 253; 2464) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="table-s10" class="section level2">
<h2>Table S10</h2>
<div class="sourceCode" id="cb143"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb143-1" data-line-number="1"><span class="co"># load datasets </span></a>
<a class="sourceLine" id="cb143-2" data-line-number="2"></a>
<a class="sourceLine" id="cb143-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_eu.RData&quot;</span>)</a>
<a class="sourceLine" id="cb143-4" data-line-number="4"><span class="kw">load</span>(<span class="st">&quot;./dataframe_multicult.RData&quot;</span>)</a>
<a class="sourceLine" id="cb143-5" data-line-number="5"><span class="kw">load</span>(<span class="st">&quot;./dataframe_auth.RData&quot;</span>)</a>
<a class="sourceLine" id="cb143-6" data-line-number="6"><span class="kw">load</span>(<span class="st">&quot;./dataframe_eco.RData&quot;</span>)</a>
<a class="sourceLine" id="cb143-7" data-line-number="7"><span class="kw">load</span>(<span class="st">&quot;./dataframe_regu.RData&quot;</span>)</a>
<a class="sourceLine" id="cb143-8" data-line-number="8"></a>
<a class="sourceLine" id="cb143-9" data-line-number="9"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb143-10" data-line-number="10"></a>
<a class="sourceLine" id="cb143-11" data-line-number="11"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb143-12" data-line-number="12"></a>
<a class="sourceLine" id="cb143-13" data-line-number="13">model_eu &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;euroscep ~ lag_euroscep + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_euroscep + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +  &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb143-14" data-line-number="14"></a>
<a class="sourceLine" id="cb143-15" data-line-number="15">model_eu &lt;-<span class="st"> </span><span class="kw">lm</span>(model_eu, <span class="dt">data =</span> dataframe_eu)</a>
<a class="sourceLine" id="cb143-16" data-line-number="16"><span class="kw">summary</span>(model_eu)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_eu, data = dataframe_eu)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.09666 -0.01843  0.00168  0.02165  0.85060 
## 
## Coefficients: (56 not defined because of singularities)
##                              Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)                 1.5535223  0.2081215   7.464 1.16e-13 ***
## lag_euroscep                0.7112242  0.0138809  51.238  &lt; 2e-16 ***
## lag_cmedian                 0.0198089  0.0363461   0.545 0.585799    
## lag_econ_glob               0.0011625  0.0025987   0.447 0.654676    
## interaction                -0.0002717  0.0004862  -0.559 0.576317    
## spsamegroup_ruled_euroscep -0.0001976  0.0001694  -1.166 0.243642    
## year_fe2                    0.0285099  0.0156023   1.827 0.067780 .  
## year_fe3                    0.0159180  0.0154401   1.031 0.302667    
## year_fe4                    0.0193871  0.0155303   1.248 0.212028    
## year_fe5                    0.0192517  0.0155560   1.238 0.215995    
## year_fe6                    0.0187338  0.0153213   1.223 0.221551    
## year_fe7                    0.0175659  0.0155953   1.126 0.260128    
## year_fe8                    0.0123896  0.0153968   0.805 0.421080    
## year_fe9                    0.0133892  0.0155291   0.862 0.388661    
## year_fe10                  -0.0028955  0.0150325  -0.193 0.847274    
## year_fe11                  -0.0004196  0.0149796  -0.028 0.977655    
## year_fe12                  -0.0102651  0.0149457  -0.687 0.492258    
## year_fe13                  -0.0218248  0.0150512  -1.450 0.147178    
## year_fe14                  -0.0109065  0.0155207  -0.703 0.482307    
## year_fe15                   0.0066333  0.0157438   0.421 0.673553    
## year_fe16                  -0.0084110  0.0160552  -0.524 0.600408    
## year_fe17                   0.0002447  0.0161145   0.015 0.987888    
## year_fe18                   0.0205089  0.0165311   1.241 0.214867    
## year_fe19                   0.0175737  0.0168789   1.041 0.297904    
## year_fe20                   0.0111491  0.0166745   0.669 0.503792    
## year_fe21                   0.0154743  0.0171594   0.902 0.367256    
## year_fe22                   0.0140602  0.0179834   0.782 0.434382    
## year_fe23                  -0.0017579  0.0188012  -0.094 0.925513    
## year_fe24                   0.0169129  0.0189782   0.891 0.372924    
## year_fe25                   0.0148819  0.0201307   0.739 0.459817    
## year_fe26                   0.0084173  0.0198853   0.423 0.672119    
## year_fe27                   0.0200349  0.0190589   1.051 0.293267    
## year_fe28                   0.0199046  0.0190117   1.047 0.295219    
## year_fe29                   0.0169557  0.0190811   0.889 0.374301    
## year_fe30                   0.0152992  0.0184672   0.828 0.407497    
## year_fe31                   0.0133009  0.0188674   0.705 0.480897    
## year_fe32                   0.0159407  0.0192972   0.826 0.408851    
## year_fe33                   0.0162625  0.0188216   0.864 0.387657    
## year_fe34                   0.0144066  0.0185612   0.776 0.437727    
## party_fe2                  -0.0378811  0.0275057  -1.377 0.168576    
## party_fe3                  -0.0749663  0.0285603  -2.625 0.008724 ** 
## party_fe4                  -0.0943761  0.0281066  -3.358 0.000798 ***
## party_fe5                  -0.0494480  0.0278258  -1.777 0.075685 .  
## party_fe6                  -0.1038254  0.0285944  -3.631 0.000288 ***
## party_fe7                  -0.0242325  0.0332824  -0.728 0.466631    
## party_fe8                  -0.1079496  0.0337734  -3.196 0.001410 ** 
## party_fe9                  -0.0606115  0.0334341  -1.813 0.069977 .  
## party_fe10                 -0.0609731  0.0334107  -1.825 0.068132 .  
## party_fe11                 -0.1009778  0.0337024  -2.996 0.002762 ** 
## party_fe12                         NA         NA      NA       NA    
## party_fe13                 -0.0676699  0.0314130  -2.154 0.031324 *  
## party_fe14                 -0.0353797  0.0304202  -1.163 0.244931    
## party_fe15                  0.0463872  0.0272082   1.705 0.088343 .  
## party_fe16                 -0.0308781  0.0235312  -1.312 0.189572    
## party_fe17                 -0.0515494  0.0241854  -2.131 0.033155 *  
## party_fe18                 -0.1104136  0.0254348  -4.341 1.48e-05 ***
## party_fe19                 -0.0815192  0.0238950  -3.412 0.000657 ***
## party_fe20                 -0.0942787  0.0241780  -3.899 9.91e-05 ***
## party_fe21                 -0.0540047  0.0241973  -2.232 0.025717 *  
## party_fe22                 -0.0925447  0.0241008  -3.840 0.000126 ***
## party_fe23                  0.0423813  0.0293582   1.444 0.148984    
## party_fe24                 -0.0674475  0.0276742  -2.437 0.014874 *  
## party_fe25                 -0.0874090  0.0278045  -3.144 0.001689 ** 
## party_fe26                 -0.0548996  0.0283167  -1.939 0.052646 .  
## party_fe27                         NA         NA      NA       NA    
## party_fe28                         NA         NA      NA       NA    
## party_fe29                 -0.0601085  0.0276592  -2.173 0.029864 *  
## party_fe30                 -0.0878316  0.0279981  -3.137 0.001727 ** 
## party_fe31                 -0.0755293  0.0247559  -3.051 0.002306 ** 
## party_fe32                 -0.0903078  0.0249290  -3.623 0.000298 ***
## party_fe33                 -0.0396711  0.0371806  -1.067 0.286086    
## party_fe34                 -0.0844055  0.0254239  -3.320 0.000914 ***
## party_fe35                 -0.0975783  0.0250825  -3.890 0.000103 ***
## party_fe36                         NA         NA      NA       NA    
## party_fe37                 -0.0841792  0.0245062  -3.435 0.000603 ***
## party_fe38                 -0.0735292  0.0275086  -2.673 0.007570 ** 
## party_fe39                         NA         NA      NA       NA    
## party_fe40                 -0.0658130  0.0433251  -1.519 0.128881    
## party_fe41                         NA         NA      NA       NA    
## party_fe42                 -0.1146058  0.0353679  -3.240 0.001210 ** 
## party_fe43                 -0.0517973  0.0479800  -1.080 0.280446    
## party_fe44                 -0.1025886  0.0246033  -4.170 3.16e-05 ***
## party_fe45                 -0.0877184  0.0245037  -3.580 0.000351 ***
## party_fe46                 -0.0855623  0.0261695  -3.270 0.001092 ** 
## party_fe47                 -0.0564038  0.0274783  -2.053 0.040213 *  
## party_fe48                 -0.0763675  0.0303811  -2.514 0.012014 *  
## party_fe49                 -0.0750774  0.0248429  -3.022 0.002537 ** 
## party_fe50                 -0.0834447  0.0244299  -3.416 0.000647 ***
## party_fe51                 -0.0824811  0.0245180  -3.364 0.000780 ***
## party_fe52                 -0.0501235  0.0479945  -1.044 0.296425    
## party_fe53                 -0.0988428  0.0248482  -3.978 7.16e-05 ***
## party_fe54                 -0.0909206  0.0432772  -2.101 0.035755 *  
## party_fe55                 -0.0569817  0.0333867  -1.707 0.088004 .  
## party_fe56                 -0.0809038  0.0479722  -1.686 0.091835 .  
## party_fe57                  0.0038171  0.0425970   0.090 0.928604    
## party_fe58                         NA         NA      NA       NA    
## party_fe59                 -0.0260731  0.0337043  -0.774 0.439254    
## party_fe60                 -0.0848641  0.0328738  -2.582 0.009896 ** 
## party_fe61                         NA         NA      NA       NA    
## party_fe62                  0.0313557  0.0291344   1.076 0.281927    
## party_fe63                         NA         NA      NA       NA    
## party_fe64                 -0.0715554  0.0258050  -2.773 0.005598 ** 
## party_fe65                 -0.0800599  0.0255528  -3.133 0.001750 ** 
## party_fe66                 -0.1054375  0.0257941  -4.088 4.50e-05 ***
## party_fe67                 -0.1812795  0.0296646  -6.111 1.15e-09 ***
## party_fe68                         NA         NA      NA       NA    
## party_fe69                 -0.0739889  0.0260638  -2.839 0.004567 ** 
## party_fe70                 -0.1165839  0.0268649  -4.340 1.49e-05 ***
## party_fe71                         NA         NA      NA       NA    
## party_fe72                         NA         NA      NA       NA    
## party_fe73                 -0.1553350  0.0281996  -5.508 4.01e-08 ***
## party_fe74                 -0.0641570  0.0301322  -2.129 0.033341 *  
## party_fe75                 -0.1080380  0.0264458  -4.085 4.55e-05 ***
## party_fe76                 -0.1336423  0.0346668  -3.855 0.000119 ***
## party_fe77                 -0.0291298  0.0269350  -1.081 0.279589    
## party_fe78                         NA         NA      NA       NA    
## party_fe79                 -0.0639239  0.0294857  -2.168 0.030260 *  
## party_fe80                         NA         NA      NA       NA    
## party_fe81                 -0.0653976  0.0340218  -1.922 0.054695 .  
## party_fe82                 -0.0499631  0.0354215  -1.411 0.158512    
## party_fe83                 -0.0607105  0.0284432  -2.134 0.032907 *  
## party_fe84                 -0.1322397  0.0376620  -3.511 0.000454 ***
## party_fe85                 -0.0932257  0.0265523  -3.511 0.000455 ***
## party_fe86                         NA         NA      NA       NA    
## party_fe87                 -0.0930726  0.0274657  -3.389 0.000714 ***
## party_fe88                 -0.0829814  0.0291068  -2.851 0.004396 ** 
## party_fe89                         NA         NA      NA       NA    
## party_fe90                 -0.1238599  0.0380334  -3.257 0.001143 ** 
## party_fe91                 -0.1170463  0.0300882  -3.890 0.000103 ***
## party_fe92                 -0.1332426  0.0303346  -4.392 1.17e-05 ***
## party_fe93                 -0.0838655  0.0300157  -2.794 0.005246 ** 
## party_fe94                         NA         NA      NA       NA    
## party_fe95                         NA         NA      NA       NA    
## party_fe96                 -0.0985478  0.0276816  -3.560 0.000378 ***
## party_fe97                         NA         NA      NA       NA    
## party_fe98                         NA         NA      NA       NA    
## party_fe99                         NA         NA      NA       NA    
## party_fe100                -0.0680335  0.0372092  -1.828 0.067613 .  
## party_fe101                -0.0804097  0.0433005  -1.857 0.063431 .  
## party_fe102                -0.0557327  0.0296081  -1.882 0.059910 .  
## party_fe103                -0.0770737  0.0373321  -2.065 0.039073 *  
## party_fe104                        NA         NA      NA       NA    
## party_fe105                -0.0583652  0.0258289  -2.260 0.023930 *  
## party_fe106                -0.0874268  0.0276435  -3.163 0.001583 ** 
## party_fe107                -0.0911019  0.0331164  -2.751 0.005987 ** 
## party_fe108                -0.0598689  0.0262999  -2.276 0.022910 *  
## party_fe109                -0.1002350  0.0269852  -3.714 0.000208 ***
## party_fe110                -0.0952899  0.0497076  -1.917 0.055355 .  
## party_fe111                        NA         NA      NA       NA    
## party_fe112                -0.1057296  0.0333469  -3.171 0.001540 ** 
## party_fe113                -0.0957734  0.0267475  -3.581 0.000350 ***
## party_fe114                -0.1011375  0.0266882  -3.790 0.000155 ***
## party_fe115                        NA         NA      NA       NA    
## party_fe116                 0.0002558  0.0272128   0.009 0.992500    
## party_fe117                -0.0740384  0.0321544  -2.303 0.021387 *  
## party_fe118                -0.0864865  0.0267608  -3.232 0.001247 ** 
## party_fe119                        NA         NA      NA       NA    
## party_fe120                -0.0849590  0.0265421  -3.201 0.001388 ** 
## party_fe121                -0.0630375  0.0383995  -1.642 0.100799    
## party_fe122                -0.0459725  0.0292181  -1.573 0.115753    
## party_fe123                 0.0988056  0.0400385   2.468 0.013665 *  
## party_fe124                -0.0367226  0.0302092  -1.216 0.224254    
## party_fe125                -0.0472888  0.0254874  -1.855 0.063665 .  
## party_fe126                -0.0504116  0.0274032  -1.840 0.065946 .  
## party_fe127                        NA         NA      NA       NA    
## party_fe128                -0.0650557  0.0261832  -2.485 0.013036 *  
## party_fe129                -0.0437861  0.0401720  -1.090 0.275838    
## party_fe130                -0.0832847  0.0259265  -3.212 0.001334 ** 
## party_fe131                        NA         NA      NA       NA    
## party_fe132                -0.1301174  0.0262118  -4.964 7.39e-07 ***
## party_fe133                -0.0796012  0.0261291  -3.046 0.002341 ** 
## party_fe134                -0.0603138  0.0296022  -2.037 0.041711 *  
## party_fe135                        NA         NA      NA       NA    
## party_fe136                        NA         NA      NA       NA    
## party_fe137                -0.0903656  0.0259618  -3.481 0.000509 ***
## party_fe138                -0.0999393  0.0257384  -3.883 0.000106 ***
## party_fe139                -0.0997798  0.0257388  -3.877 0.000109 ***
## party_fe140                -0.1257601  0.0280645  -4.481 7.77e-06 ***
## party_fe141                        NA         NA      NA       NA    
## party_fe142                -0.0981004  0.0287566  -3.411 0.000657 ***
## party_fe143                -0.0607381  0.0278475  -2.181 0.029273 *  
## party_fe144                        NA         NA      NA       NA    
## party_fe145                -0.1334862  0.0283145  -4.714 2.56e-06 ***
## party_fe146                -0.0600933  0.0426251  -1.410 0.158725    
## party_fe147                -0.0626857  0.0350995  -1.786 0.074235 .  
## party_fe148                -0.0577017  0.0244944  -2.356 0.018567 *  
## party_fe149                -0.0707143  0.0336962  -2.099 0.035958 *  
## party_fe150                -0.1073810  0.0245028  -4.382 1.22e-05 ***
## party_fe151                -0.0506897  0.0241298  -2.101 0.035771 *  
## party_fe152                -0.0853410  0.0301947  -2.826 0.004747 ** 
## party_fe153                -0.0326940  0.0258205  -1.266 0.205563    
## party_fe154                -0.0465244  0.0303895  -1.531 0.125917    
## party_fe155                -0.0716483  0.0323096  -2.218 0.026678 *  
## party_fe156                -0.0593799  0.0247472  -2.399 0.016495 *  
## party_fe157                -0.0619646  0.0258002  -2.402 0.016394 *  
## party_fe158                -0.0780910  0.0244453  -3.195 0.001419 ** 
## party_fe159                -0.0836333  0.0243783  -3.431 0.000612 ***
## party_fe160                        NA         NA      NA       NA    
## party_fe161                        NA         NA      NA       NA    
## party_fe162                        NA         NA      NA       NA    
## party_fe163                        NA         NA      NA       NA    
## party_fe164                        NA         NA      NA       NA    
## party_fe165                -0.0473564  0.0436553  -1.085 0.278127    
## party_fe166                -0.0851561  0.0437129  -1.948 0.051522 .  
## party_fe167                        NA         NA      NA       NA    
## party_fe168                        NA         NA      NA       NA    
## party_fe169                -0.0611520  0.0437000  -1.399 0.161834    
## party_fe170                -0.0712429  0.0429257  -1.660 0.097109 .  
## party_fe171                -0.0634454  0.0368853  -1.720 0.085548 .  
## party_fe172                -0.0678057  0.0374901  -1.809 0.070633 .  
## party_fe173                -0.0838259  0.0368548  -2.274 0.023024 *  
## party_fe174                -0.1074682  0.0429320  -2.503 0.012373 *  
## party_fe175                        NA         NA      NA       NA    
## party_fe176                        NA         NA      NA       NA    
## party_fe177                        NA         NA      NA       NA    
## party_fe178                -0.0404091  0.0380574  -1.062 0.288437    
## party_fe179                -0.0508422  0.0373265  -1.362 0.173296    
## party_fe180                -0.0956144  0.0376051  -2.543 0.011066 *  
## party_fe181                -0.1458458  0.0375610  -3.883 0.000106 ***
## party_fe182                        NA         NA      NA       NA    
## party_fe183                        NA         NA      NA       NA    
## party_fe184                -0.1106696  0.0373110  -2.966 0.003045 ** 
## party_fe185                -0.0376294  0.0428604  -0.878 0.380057    
## party_fe186                -0.0651117  0.0367741  -1.771 0.076756 .  
## party_fe187                -0.0931381  0.0392985  -2.370 0.017866 *  
## party_fe188                -0.0589285  0.0392202  -1.503 0.133099    
## party_fe189                        NA         NA      NA       NA    
## party_fe190                        NA         NA      NA       NA    
## party_fe191                        NA         NA      NA       NA    
## party_fe192                        NA         NA      NA       NA    
## party_fe193                        NA         NA      NA       NA    
## party_fe194                        NA         NA      NA       NA    
## party_fe195                        NA         NA      NA       NA    
## party_fe196                -0.1222306  0.0384939  -3.175 0.001516 ** 
## party_fe197                -0.0681720  0.0384014  -1.775 0.075984 .  
## party_fe198                -0.2537399  0.0579860  -4.376 1.26e-05 ***
## party_fe199                        NA         NA      NA       NA    
## party_fe200                        NA         NA      NA       NA    
## party_fe201                        NA         NA      NA       NA    
## party_fe202                        NA         NA      NA       NA    
## party_fe203                -0.1379139  0.0373800  -3.690 0.000230 ***
## party_fe204                        NA         NA      NA       NA    
## party_fe205                -0.1109613  0.0368218  -3.013 0.002610 ** 
## party_fe206                -0.0950706  0.0369371  -2.574 0.010117 *  
## party_fe207                -0.0800317  0.0427576  -1.872 0.061362 .  
## party_fe208                -0.0911939  0.0371989  -2.452 0.014296 *  
## party_fe209                -0.0610044  0.0376083  -1.622 0.104913    
## party_fe210                -0.0720185  0.0370966  -1.941 0.052329 .  
## party_fe211                -0.0575095  0.0372923  -1.542 0.123174    
## party_fe212                        NA         NA      NA       NA    
## party_fe213                -0.0870659  0.0372314  -2.339 0.019443 *  
## party_fe214                -0.0727244  0.0371462  -1.958 0.050371 .  
## party_fe215                -0.0469451  0.0369870  -1.269 0.204481    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.07511 on 2402 degrees of freedom
## Multiple R-squared:  0.7748, Adjusted R-squared:  0.7564 
## F-statistic: 42.17 on 196 and 2402 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb145"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb145-1" data-line-number="1">model_multicult &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;multicult ~ lag_multicult + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_multicult + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb145-2" data-line-number="2"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb145-3" data-line-number="3"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +  &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb145-4" data-line-number="4"></a>
<a class="sourceLine" id="cb145-5" data-line-number="5">model_multicult &lt;-<span class="st"> </span><span class="kw">lm</span>(model_multicult, <span class="dt">data =</span> dataframe_multicult)</a>
<a class="sourceLine" id="cb145-6" data-line-number="6"><span class="kw">summary</span>(model_multicult)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_multicult, data = dataframe_multicult)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.70572 -0.00716  0.00100  0.00824  0.58816 
## 
## Coefficients: (56 not defined because of singularities)
##                               Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)                  1.974e+00  1.375e-01  14.353  &lt; 2e-16 ***
## lag_multicult                6.829e-01  1.410e-02  48.428  &lt; 2e-16 ***
## lag_cmedian                 -5.315e-02  2.070e-02  -2.568 0.010287 *  
## lag_econ_glob               -3.403e-03  1.480e-03  -2.299 0.021603 *  
## interaction                  7.613e-04  2.769e-04   2.749 0.006018 ** 
## spsamegroup_ruled_multicult  5.940e-05  9.359e-05   0.635 0.525714    
## year_fe2                    -3.823e-03  8.865e-03  -0.431 0.666332    
## year_fe3                    -1.055e-03  8.774e-03  -0.120 0.904284    
## year_fe4                    -3.588e-03  8.826e-03  -0.407 0.684386    
## year_fe5                    -1.057e-02  8.841e-03  -1.195 0.232092    
## year_fe6                    -5.388e-03  8.707e-03  -0.619 0.536082    
## year_fe7                    -7.285e-03  8.862e-03  -0.822 0.411175    
## year_fe8                    -4.903e-03  8.749e-03  -0.560 0.575267    
## year_fe9                    -6.748e-03  8.824e-03  -0.765 0.444490    
## year_fe10                   -9.406e-03  8.541e-03  -1.101 0.270865    
## year_fe11                   -9.316e-03  8.506e-03  -1.095 0.273524    
## year_fe12                   -8.479e-03  8.484e-03  -0.999 0.317717    
## year_fe13                   -9.617e-03  8.538e-03  -1.126 0.260157    
## year_fe14                   -9.706e-03  8.794e-03  -1.104 0.269862    
## year_fe15                   -8.675e-03  8.921e-03  -0.972 0.330937    
## year_fe16                   -2.248e-02  9.104e-03  -2.469 0.013600 *  
## year_fe17                   -1.108e-02  9.137e-03  -1.213 0.225165    
## year_fe18                   -7.348e-04  9.383e-03  -0.078 0.937591    
## year_fe19                   -5.928e-03  9.585e-03  -0.618 0.536336    
## year_fe20                   -1.175e-02  9.474e-03  -1.240 0.215012    
## year_fe21                   -7.012e-03  9.749e-03  -0.719 0.472031    
## year_fe22                   -7.598e-05  1.022e-02  -0.007 0.994068    
## year_fe23                   -7.056e-03  1.069e-02  -0.660 0.509121    
## year_fe24                   -8.659e-03  1.078e-02  -0.803 0.422042    
## year_fe25                   -5.866e-03  1.144e-02  -0.513 0.608143    
## year_fe26                   -4.021e-03  1.131e-02  -0.356 0.722122    
## year_fe27                    8.416e-03  1.084e-02   0.777 0.437429    
## year_fe28                   -1.697e-03  1.082e-02  -0.157 0.875405    
## year_fe29                   -1.134e-02  1.086e-02  -1.044 0.296700    
## year_fe30                   -5.274e-03  1.051e-02  -0.502 0.615821    
## year_fe31                   -3.777e-03  1.073e-02  -0.352 0.725001    
## year_fe32                   -7.939e-03  1.098e-02  -0.723 0.469656    
## year_fe33                   -1.167e-02  1.071e-02  -1.090 0.275996    
## year_fe34                   -2.860e-03  1.055e-02  -0.271 0.786450    
## party_fe2                   -3.621e-03  1.560e-02  -0.232 0.816409    
## party_fe3                   -4.916e-03  1.600e-02  -0.307 0.758716    
## party_fe4                   -3.023e-03  1.566e-02  -0.193 0.846932    
## party_fe5                   -4.177e-03  1.566e-02  -0.267 0.789644    
## party_fe6                   -2.233e-03  1.566e-02  -0.143 0.886610    
## party_fe7                   -2.008e-02  1.893e-02  -1.061 0.288773    
## party_fe8                   -6.726e-03  1.890e-02  -0.356 0.721976    
## party_fe9                   -1.605e-02  1.894e-02  -0.848 0.396768    
## party_fe10                  -7.837e-04  1.892e-02  -0.041 0.966959    
## party_fe11                   8.079e-03  1.890e-02   0.428 0.669025    
## party_fe12                          NA         NA      NA       NA    
## party_fe13                   1.772e-02  1.774e-02   0.999 0.317836    
## party_fe14                   1.243e-02  1.724e-02   0.721 0.470922    
## party_fe15                  -9.290e-03  1.548e-02  -0.600 0.548418    
## party_fe16                   4.153e-03  1.332e-02   0.312 0.755297    
## party_fe17                   2.029e-02  1.364e-02   1.488 0.136932    
## party_fe18                   5.107e-03  1.409e-02   0.363 0.716979    
## party_fe19                  -3.952e-02  1.341e-02  -2.948 0.003225 ** 
## party_fe20                   5.349e-02  1.352e-02   3.956 7.83e-05 ***
## party_fe21                   1.210e-03  1.361e-02   0.089 0.929132    
## party_fe22                   3.987e-02  1.347e-02   2.960 0.003109 ** 
## party_fe23                   1.790e-01  1.847e-02   9.689  &lt; 2e-16 ***
## party_fe24                  -2.767e-02  1.561e-02  -1.773 0.076390 .  
## party_fe25                  -1.447e-04  1.559e-02  -0.009 0.992599    
## party_fe26                  -4.201e-02  1.608e-02  -2.613 0.009035 ** 
## party_fe27                          NA         NA      NA       NA    
## party_fe28                          NA         NA      NA       NA    
## party_fe29                  -3.225e-03  1.560e-02  -0.207 0.836245    
## party_fe30                  -1.091e-02  1.567e-02  -0.696 0.486470    
## party_fe31                  -8.624e-03  1.383e-02  -0.624 0.532922    
## party_fe32                  -5.441e-03  1.383e-02  -0.394 0.693941    
## party_fe33                  -4.883e-02  2.108e-02  -2.316 0.020649 *  
## party_fe34                  -3.254e-03  1.415e-02  -0.230 0.818117    
## party_fe35                  -6.851e-03  1.390e-02  -0.493 0.622183    
## party_fe36                          NA         NA      NA       NA    
## party_fe37                   6.460e-03  1.365e-02   0.473 0.636027    
## party_fe38                  -2.564e-02  1.540e-02  -1.665 0.096066 .  
## party_fe39                          NA         NA      NA       NA    
## party_fe40                  -2.006e-02  2.451e-02  -0.818 0.413302    
## party_fe41                          NA         NA      NA       NA    
## party_fe42                  -1.961e-03  1.981e-02  -0.099 0.921131    
## party_fe43                   1.521e-01  2.745e-02   5.542 3.32e-08 ***
## party_fe44                   3.211e-03  1.360e-02   0.236 0.813327    
## party_fe45                  -9.372e-03  1.363e-02  -0.688 0.491648    
## party_fe46                   1.491e-03  1.463e-02   0.102 0.918836    
## party_fe47                  -7.666e-03  1.551e-02  -0.494 0.621199    
## party_fe48                   2.589e-03  1.704e-02   0.152 0.879304    
## party_fe49                   7.546e-04  1.390e-02   0.054 0.956710    
## party_fe50                   7.903e-04  1.363e-02   0.058 0.953751    
## party_fe51                   1.292e-02  1.366e-02   0.946 0.344390    
## party_fe52                   2.580e-02  2.715e-02   0.950 0.342046    
## party_fe53                  -1.702e-02  1.378e-02  -1.235 0.216914    
## party_fe54                  -4.947e-03  2.442e-02  -0.203 0.839475    
## party_fe55                  -2.717e-02  1.884e-02  -1.442 0.149394    
## party_fe56                   9.425e-02  2.720e-02   3.465 0.000539 ***
## party_fe57                   1.769e-01  2.567e-02   6.892 7.00e-12 ***
## party_fe58                          NA         NA      NA       NA    
## party_fe59                  -1.437e-02  1.907e-02  -0.753 0.451343    
## party_fe60                  -3.671e-02  1.854e-02  -1.980 0.047816 *  
## party_fe61                          NA         NA      NA       NA    
## party_fe62                  -3.762e-03  1.656e-02  -0.227 0.820326    
## party_fe63                          NA         NA      NA       NA    
## party_fe64                  -1.106e-02  1.445e-02  -0.765 0.444093    
## party_fe65                  -8.745e-03  1.425e-02  -0.614 0.539432    
## party_fe66                  -4.539e-03  1.423e-02  -0.319 0.749785    
## party_fe67                  -1.438e-03  1.615e-02  -0.089 0.929063    
## party_fe68                          NA         NA      NA       NA    
## party_fe69                   2.544e-03  1.466e-02   0.174 0.862262    
## party_fe70                   1.546e-03  1.490e-02   0.104 0.917402    
## party_fe71                          NA         NA      NA       NA    
## party_fe72                          NA         NA      NA       NA    
## party_fe73                   1.360e-02  1.549e-02   0.878 0.380253    
## party_fe74                  -2.210e-03  1.696e-02  -0.130 0.896300    
## party_fe75                   1.656e-02  1.473e-02   1.124 0.260963    
## party_fe76                   1.530e-02  1.939e-02   0.789 0.430267    
## party_fe77                   3.223e-02  1.526e-02   2.112 0.034819 *  
## party_fe78                          NA         NA      NA       NA    
## party_fe79                   1.125e-02  1.663e-02   0.676 0.498896    
## party_fe80                          NA         NA      NA       NA    
## party_fe81                   1.298e-02  1.920e-02   0.676 0.498871    
## party_fe82                   1.772e-02  2.003e-02   0.885 0.376364    
## party_fe83                  -1.408e-02  1.615e-02  -0.872 0.383290    
## party_fe84                   7.955e-03  2.106e-02   0.378 0.705719    
## party_fe85                   2.851e-03  1.482e-02   0.192 0.847447    
## party_fe86                          NA         NA      NA       NA    
## party_fe87                   1.140e-02  1.535e-02   0.743 0.457739    
## party_fe88                   1.497e-02  1.632e-02   0.917 0.359058    
## party_fe89                          NA         NA      NA       NA    
## party_fe90                   5.339e-03  2.134e-02   0.250 0.802434    
## party_fe91                   1.611e-02  1.680e-02   0.959 0.337659    
## party_fe92                   1.255e-02  1.680e-02   0.747 0.454913    
## party_fe93                   1.763e-02  1.680e-02   1.050 0.293996    
## party_fe94                          NA         NA      NA       NA    
## party_fe95                          NA         NA      NA       NA    
## party_fe96                   1.147e-02  1.545e-02   0.742 0.458175    
## party_fe97                          NA         NA      NA       NA    
## party_fe98                          NA         NA      NA       NA    
## party_fe99                          NA         NA      NA       NA    
## party_fe100                  2.094e-02  2.104e-02   0.995 0.319781    
## party_fe101                  3.616e-05  2.449e-02   0.001 0.998822    
## party_fe102                  1.454e-02  1.671e-02   0.870 0.384214    
## party_fe103                  3.115e-02  2.109e-02   1.477 0.139836    
## party_fe104                         NA         NA      NA       NA    
## party_fe105                  2.075e-03  1.455e-02   0.143 0.886625    
## party_fe106                  1.145e-02  1.546e-02   0.741 0.458967    
## party_fe107                  7.173e-03  1.855e-02   0.387 0.698956    
## party_fe108                  6.794e-03  1.480e-02   0.459 0.646256    
## party_fe109                  2.203e-03  1.505e-02   0.146 0.883650    
## party_fe110                  1.149e-02  2.813e-02   0.408 0.683109    
## party_fe111                         NA         NA      NA       NA    
## party_fe112                  1.580e-02  1.870e-02   0.845 0.398235    
## party_fe113                  1.332e-02  1.491e-02   0.893 0.371875    
## party_fe114                 -9.872e-03  1.488e-02  -0.663 0.507190    
## party_fe115                         NA         NA      NA       NA    
## party_fe116                  1.452e-02  1.545e-02   0.940 0.347513    
## party_fe117                  1.242e-02  1.813e-02   0.685 0.493319    
## party_fe118                  1.079e-02  1.499e-02   0.720 0.471508    
## party_fe119                         NA         NA      NA       NA    
## party_fe120                  1.603e-02  1.484e-02   1.080 0.280330    
## party_fe121                  1.525e-02  2.164e-02   0.705 0.481035    
## party_fe122                  3.596e-02  1.656e-02   2.171 0.030011 *  
## party_fe123                  2.160e-02  2.275e-02   0.949 0.342557    
## party_fe124                 -1.156e-03  1.712e-02  -0.068 0.946175    
## party_fe125                  1.152e-02  1.438e-02   0.801 0.423199    
## party_fe126                  8.215e-03  1.546e-02   0.531 0.595219    
## party_fe127                         NA         NA      NA       NA    
## party_fe128                  1.545e-02  1.467e-02   1.053 0.292298    
## party_fe129                  2.160e-02  2.275e-02   0.949 0.342557    
## party_fe130                  1.391e-02  1.449e-02   0.960 0.337110    
## party_fe131                         NA         NA      NA       NA    
## party_fe132                  1.456e-02  1.440e-02   1.011 0.312298    
## party_fe133                  2.173e-03  1.465e-02   0.148 0.882130    
## party_fe134                  9.275e-03  1.672e-02   0.555 0.579085    
## party_fe135                         NA         NA      NA       NA    
## party_fe136                         NA         NA      NA       NA    
## party_fe137                  1.287e-02  1.448e-02   0.889 0.374271    
## party_fe138                  1.293e-02  1.430e-02   0.904 0.366065    
## party_fe139                  1.882e-02  1.430e-02   1.316 0.188411    
## party_fe140                 -3.406e-02  1.567e-02  -2.174 0.029829 *  
## party_fe141                         NA         NA      NA       NA    
## party_fe142                 -6.556e-03  1.606e-02  -0.408 0.683126    
## party_fe143                  3.910e-02  1.569e-02   2.492 0.012766 *  
## party_fe144                         NA         NA      NA       NA    
## party_fe145                  2.345e-02  1.571e-02   1.492 0.135735    
## party_fe146                  8.904e-02  2.434e-02   3.658 0.000260 ***
## party_fe147                 -6.114e-02  2.006e-02  -3.048 0.002329 ** 
## party_fe148                  7.286e-03  1.380e-02   0.528 0.597437    
## party_fe149                  8.203e-03  1.895e-02   0.433 0.665170    
## party_fe150                  1.074e-02  1.352e-02   0.795 0.426877    
## party_fe151                  7.535e-03  1.358e-02   0.555 0.578977    
## party_fe152                 -1.019e-02  1.699e-02  -0.600 0.548775    
## party_fe153                 -1.697e-02  1.464e-02  -1.159 0.246480    
## party_fe154                 -2.610e-03  1.714e-02  -0.152 0.878973    
## party_fe155                 -8.279e-04  1.824e-02  -0.045 0.963806    
## party_fe156                 -9.560e-03  1.389e-02  -0.688 0.491472    
## party_fe157                 -1.934e-02  1.450e-02  -1.334 0.182216    
## party_fe158                 -7.225e-03  1.363e-02  -0.530 0.595976    
## party_fe159                 -1.550e-02  1.355e-02  -1.143 0.253011    
## party_fe160                         NA         NA      NA       NA    
## party_fe161                         NA         NA      NA       NA    
## party_fe162                         NA         NA      NA       NA    
## party_fe163                         NA         NA      NA       NA    
## party_fe164                         NA         NA      NA       NA    
## party_fe165                  1.118e-02  2.469e-02   0.453 0.650698    
## party_fe166                  2.853e-02  2.469e-02   1.156 0.247898    
## party_fe167                         NA         NA      NA       NA    
## party_fe168                         NA         NA      NA       NA    
## party_fe169                 -2.051e-03  2.469e-02  -0.083 0.933807    
## party_fe170                  4.195e-03  2.424e-02   0.173 0.862601    
## party_fe171                 -6.375e-03  2.085e-02  -0.306 0.759780    
## party_fe172                 -8.676e-03  2.112e-02  -0.411 0.681230    
## party_fe173                  5.044e-03  2.083e-02   0.242 0.808731    
## party_fe174                  1.563e-02  2.422e-02   0.645 0.518861    
## party_fe175                         NA         NA      NA       NA    
## party_fe176                         NA         NA      NA       NA    
## party_fe177                         NA         NA      NA       NA    
## party_fe178                 -1.050e-04  2.137e-02  -0.005 0.996079    
## party_fe179                 -1.506e-02  2.101e-02  -0.717 0.473599    
## party_fe180                  1.656e-02  2.110e-02   0.785 0.432550    
## party_fe181                  6.365e-04  2.100e-02   0.030 0.975822    
## party_fe182                         NA         NA      NA       NA    
## party_fe183                         NA         NA      NA       NA    
## party_fe184                 -3.126e-02  2.108e-02  -1.483 0.138243    
## party_fe185                 -2.823e-02  2.427e-02  -1.163 0.244903    
## party_fe186                 -2.019e-02  2.077e-02  -0.972 0.331122    
## party_fe187                 -2.390e-02  2.218e-02  -1.078 0.281364    
## party_fe188                  6.622e-03  2.216e-02   0.299 0.765038    
## party_fe189                         NA         NA      NA       NA    
## party_fe190                         NA         NA      NA       NA    
## party_fe191                         NA         NA      NA       NA    
## party_fe192                         NA         NA      NA       NA    
## party_fe193                         NA         NA      NA       NA    
## party_fe194                         NA         NA      NA       NA    
## party_fe195                         NA         NA      NA       NA    
## party_fe196                  9.109e-03  2.170e-02   0.420 0.674700    
## party_fe197                  1.237e-02  2.173e-02   0.569 0.569128    
## party_fe198                  1.473e-02  3.294e-02   0.447 0.654847    
## party_fe199                         NA         NA      NA       NA    
## party_fe200                         NA         NA      NA       NA    
## party_fe201                         NA         NA      NA       NA    
## party_fe202                         NA         NA      NA       NA    
## party_fe203                  2.882e-03  2.108e-02   0.137 0.891260    
## party_fe204                         NA         NA      NA       NA    
## party_fe205                  7.333e-03  2.072e-02   0.354 0.723505    
## party_fe206                  2.723e-05  2.073e-02   0.001 0.998952    
## party_fe207                  2.673e-03  2.417e-02   0.111 0.911929    
## party_fe208                 -4.745e-03  2.075e-02  -0.229 0.819168    
## party_fe209                 -2.772e-03  2.127e-02  -0.130 0.896334    
## party_fe210                 -1.458e-03  2.095e-02  -0.070 0.944496    
## party_fe211                  6.366e-03  2.108e-02   0.302 0.762676    
## party_fe212                         NA         NA      NA       NA    
## party_fe213                  1.043e-02  2.096e-02   0.497 0.618931    
## party_fe214                 -5.329e-05  2.097e-02  -0.003 0.997972    
## party_fe215                  6.916e-03  2.096e-02   0.330 0.741468    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.04268 on 2402 degrees of freedom
## Multiple R-squared:  0.7723, Adjusted R-squared:  0.7537 
## F-statistic: 41.56 on 196 and 2402 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb147"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb147-1" data-line-number="1"><span class="kw">stargazer</span>(model_multicult)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:09
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; multicult \\ 
## \hline \\[-1.8ex] 
##  lag\_multicult &amp; 0.683$^{***}$ \\ 
##   &amp; (0.014) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; $-$0.053$^{**}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; $-$0.003$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  interaction &amp; 0.001$^{***}$ \\ 
##   &amp; (0.0003) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_multicult &amp; 0.0001 \\ 
##   &amp; (0.0001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; $-$0.004 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; $-$0.001 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; $-$0.004 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; $-$0.011 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; $-$0.005 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; $-$0.007 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; $-$0.005 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.007 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.009 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; $-$0.009 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; $-$0.008 \\ 
##   &amp; (0.008) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; $-$0.010 \\ 
##   &amp; (0.009) \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
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##   &amp; \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.011 \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp; \\ 
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##   &amp; \\ 
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##   &amp; \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
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##   &amp; \\ 
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##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.010 \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; $-$0.0001 \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.007 \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  Constant &amp; 1.974$^{***}$ \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,599 \\ 
## R$^{2}$ &amp; 0.772 \\ 
## Adjusted R$^{2}$ &amp; 0.754 \\ 
## Residual Std. Error &amp; 0.043 (df = 2402) \\ 
## F Statistic &amp; 41.563$^{***}$ (df = 196; 2402) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb149"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb149-1" data-line-number="1">model_auth &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;auth ~ lag_auth + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_auth + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb149-2" data-line-number="2"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb149-3" data-line-number="3"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +  &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb149-4" data-line-number="4"></a>
<a class="sourceLine" id="cb149-5" data-line-number="5">model_auth &lt;-<span class="st"> </span><span class="kw">lm</span>(model_auth, <span class="dt">data =</span> dataframe_auth)</a>
<a class="sourceLine" id="cb149-6" data-line-number="6"><span class="kw">summary</span>(model_auth)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_auth, data = dataframe_auth)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.3246 -0.0707 -0.0092  0.0556  3.5848 
## 
## Coefficients: (56 not defined because of singularities)
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -3.425e-01  7.139e-01  -0.480 0.631461    
## lag_auth                7.065e-01  1.291e-02  54.733  &lt; 2e-16 ***
## lag_cmedian             1.370e-01  1.369e-01   1.001 0.316857    
## lag_econ_glob           1.494e-04  9.748e-03   0.015 0.987775    
## interaction            -7.593e-04  1.826e-03  -0.416 0.677575    
## spsamegroup_ruled_auth  1.294e-04  2.451e-03   0.053 0.957886    
## year_fe2                6.748e-02  5.845e-02   1.154 0.248413    
## year_fe3                1.100e-01  5.785e-02   1.901 0.057391 .  
## year_fe4                9.813e-02  5.817e-02   1.687 0.091736 .  
## year_fe5                7.693e-02  5.828e-02   1.320 0.186916    
## year_fe6                1.324e-01  5.740e-02   2.308 0.021109 *  
## year_fe7                1.168e-01  5.843e-02   1.999 0.045757 *  
## year_fe8                1.341e-01  5.768e-02   2.326 0.020117 *  
## year_fe9                1.168e-01  5.818e-02   2.007 0.044882 *  
## year_fe10               1.750e-01  5.634e-02   3.105 0.001924 ** 
## year_fe11               3.309e-01  5.613e-02   5.896 4.25e-09 ***
## year_fe12               2.314e-01  5.613e-02   4.122 3.89e-05 ***
## year_fe13               2.394e-01  5.649e-02   4.238 2.34e-05 ***
## year_fe14               2.491e-01  5.829e-02   4.275 1.99e-05 ***
## year_fe15               1.980e-01  5.906e-02   3.352 0.000815 ***
## year_fe16               1.485e-01  6.023e-02   2.466 0.013725 *  
## year_fe17               2.169e-01  6.034e-02   3.595 0.000331 ***
## year_fe18               2.931e-01  6.194e-02   4.732 2.35e-06 ***
## year_fe19               2.418e-01  6.329e-02   3.820 0.000137 ***
## year_fe20               2.135e-01  6.265e-02   3.408 0.000665 ***
## year_fe21               2.693e-01  6.442e-02   4.181 3.01e-05 ***
## year_fe22               2.124e-01  6.774e-02   3.135 0.001737 ** 
## year_fe23               2.498e-01  7.077e-02   3.530 0.000423 ***
## year_fe24               2.488e-01  7.143e-02   3.483 0.000505 ***
## year_fe25               2.198e-01  7.583e-02   2.899 0.003780 ** 
## year_fe26               2.758e-01  7.433e-02   3.710 0.000212 ***
## year_fe27               2.595e-01  7.138e-02   3.636 0.000283 ***
## year_fe28               2.933e-01  7.127e-02   4.115 4.00e-05 ***
## year_fe29               2.388e-01  7.159e-02   3.335 0.000865 ***
## year_fe30               2.987e-01  6.929e-02   4.312 1.69e-05 ***
## year_fe31               2.899e-01  7.084e-02   4.092 4.42e-05 ***
## year_fe32               2.689e-01  7.244e-02   3.711 0.000211 ***
## year_fe33               2.673e-01  7.052e-02   3.790 0.000154 ***
## year_fe34               3.029e-01  6.958e-02   4.353 1.40e-05 ***
## party_fe2               7.822e-02  1.028e-01   0.761 0.446704    
## party_fe3               2.792e-02  1.057e-01   0.264 0.791647    
## party_fe4               7.174e-02  1.032e-01   0.695 0.487012    
## party_fe5               9.897e-05  1.033e-01   0.001 0.999235    
## party_fe6               9.083e-03  1.033e-01   0.088 0.929922    
## party_fe7              -2.285e-02  1.245e-01  -0.183 0.854460    
## party_fe8              -2.168e-02  1.245e-01  -0.174 0.861839    
## party_fe9              -1.338e-02  1.245e-01  -0.107 0.914459    
## party_fe10             -3.235e-02  1.245e-01  -0.260 0.795111    
## party_fe11             -2.465e-02  1.245e-01  -0.198 0.843143    
## party_fe12                     NA         NA      NA       NA    
## party_fe13              6.863e-02  1.169e-01   0.587 0.557205    
## party_fe14              5.186e-02  1.137e-01   0.456 0.648224    
## party_fe15             -2.883e-02  1.018e-01  -0.283 0.777096    
## party_fe16              5.228e-02  8.785e-02   0.595 0.551840    
## party_fe17              1.204e-01  8.966e-02   1.342 0.179586    
## party_fe18              5.168e-02  9.293e-02   0.556 0.578233    
## party_fe19              1.004e-01  8.795e-02   1.142 0.253728    
## party_fe20              9.972e-02  8.848e-02   1.127 0.259844    
## party_fe21              4.133e-02  8.971e-02   0.461 0.645064    
## party_fe22              9.269e-02  8.827e-02   1.050 0.293809    
## party_fe23              3.356e-02  1.097e-01   0.306 0.759732    
## party_fe24             -1.932e-02  1.027e-01  -0.188 0.850725    
## party_fe25             -4.630e-02  1.028e-01  -0.451 0.652334    
## party_fe26              2.394e-01  1.060e-01   2.259 0.023943 *  
## party_fe27                     NA         NA      NA       NA    
## party_fe28                     NA         NA      NA       NA    
## party_fe29              4.570e-03  1.029e-01   0.044 0.964573    
## party_fe30             -5.025e-02  1.033e-01  -0.486 0.626750    
## party_fe31              1.917e-01  9.175e-02   2.089 0.036781 *  
## party_fe32              1.202e-01  9.124e-02   1.317 0.187893    
## party_fe33              2.637e-01  1.390e-01   1.897 0.057943 .  
## party_fe34              1.203e-01  9.320e-02   1.291 0.196891    
## party_fe35              5.633e-02  9.155e-02   0.615 0.538388    
## party_fe36                     NA         NA      NA       NA    
## party_fe37              1.210e-01  9.000e-02   1.345 0.178803    
## party_fe38              2.205e-01  1.018e-01   2.166 0.030404 *  
## party_fe39                     NA         NA      NA       NA    
## party_fe40              1.424e-01  1.616e-01   0.881 0.378309    
## party_fe41                     NA         NA      NA       NA    
## party_fe42              7.718e-02  1.305e-01   0.592 0.554188    
## party_fe43              1.929e-01  1.794e-01   1.075 0.282467    
## party_fe44              1.465e-01  8.982e-02   1.632 0.102912    
## party_fe45              8.583e-02  8.982e-02   0.956 0.339389    
## party_fe46              1.971e-01  9.699e-02   2.032 0.042250 *  
## party_fe47              1.063e-01  1.023e-01   1.039 0.299029    
## party_fe48              1.366e-01  1.125e-01   1.214 0.224936    
## party_fe49              1.068e-01  9.148e-02   1.168 0.242956    
## party_fe50              1.166e-01  8.991e-02   1.297 0.194836    
## party_fe51              1.400e-01  9.014e-02   1.553 0.120659    
## party_fe52             -1.046e-01  1.791e-01  -0.584 0.559396    
## party_fe53              7.790e-02  9.071e-02   0.859 0.390509    
## party_fe54              1.518e-01  1.610e-01   0.943 0.345845    
## party_fe55              1.168e-01  1.243e-01   0.939 0.347851    
## party_fe56              5.691e-02  1.791e-01   0.318 0.750690    
## party_fe57             -2.689e-02  1.596e-01  -0.168 0.866218    
## party_fe58                     NA         NA      NA       NA    
## party_fe59              6.254e-02  1.258e-01   0.497 0.619047    
## party_fe60              2.393e-01  1.223e-01   1.957 0.050503 .  
## party_fe61                     NA         NA      NA       NA    
## party_fe62              1.161e-01  1.093e-01   1.063 0.287965    
## party_fe63                     NA         NA      NA       NA    
## party_fe64              9.009e-02  9.519e-02   0.946 0.344036    
## party_fe65              1.300e-01  9.410e-02   1.381 0.167377    
## party_fe66              8.958e-02  9.388e-02   0.954 0.340071    
## party_fe67             -2.480e-02  1.064e-01  -0.233 0.815753    
## party_fe68                     NA         NA      NA       NA    
## party_fe69              1.643e-02  9.655e-02   0.170 0.864915    
## party_fe70             -6.603e-04  9.803e-02  -0.007 0.994626    
## party_fe71                     NA         NA      NA       NA    
## party_fe72                     NA         NA      NA       NA    
## party_fe73             -4.515e-03  1.021e-01  -0.044 0.964741    
## party_fe74              5.086e-02  1.117e-01   0.455 0.648894    
## party_fe75             -4.572e-03  9.712e-02  -0.047 0.962456    
## party_fe76              2.043e-02  1.279e-01   0.160 0.873075    
## party_fe77              2.756e-02  1.004e-01   0.275 0.783643    
## party_fe78                     NA         NA      NA       NA    
## party_fe79              2.422e-01  1.103e-01   2.195 0.028225 *  
## party_fe80                     NA         NA      NA       NA    
## party_fe81              8.951e-02  1.266e-01   0.707 0.479756    
## party_fe82             -1.992e-02  1.321e-01  -0.151 0.880126    
## party_fe83              6.741e-02  1.063e-01   0.634 0.525947    
## party_fe84             -4.275e-02  1.388e-01  -0.308 0.758125    
## party_fe85              1.207e-01  9.781e-02   1.234 0.217404    
## party_fe86                     NA         NA      NA       NA    
## party_fe87              9.900e-01  1.075e-01   9.211  &lt; 2e-16 ***
## party_fe88              2.149e-01  1.080e-01   1.991 0.046602 *  
## party_fe89                     NA         NA      NA       NA    
## party_fe90             -4.410e-02  1.406e-01  -0.314 0.753772    
## party_fe91              1.775e-01  1.110e-01   1.599 0.109985    
## party_fe92              3.695e-01  1.118e-01   3.304 0.000967 ***
## party_fe93              1.035e-01  1.108e-01   0.933 0.350659    
## party_fe94                     NA         NA      NA       NA    
## party_fe95                     NA         NA      NA       NA    
## party_fe96              2.617e-01  1.021e-01   2.563 0.010445 *  
## party_fe97                     NA         NA      NA       NA    
## party_fe98                     NA         NA      NA       NA    
## party_fe99                     NA         NA      NA       NA    
## party_fe100             2.654e-01  1.389e-01   1.911 0.056146 .  
## party_fe101            -4.624e-01  1.615e-01  -2.863 0.004235 ** 
## party_fe102             4.540e-01  1.110e-01   4.091 4.43e-05 ***
## party_fe103             8.249e-01  1.409e-01   5.855 5.42e-09 ***
## party_fe104                    NA         NA      NA       NA    
## party_fe105             3.862e-01  9.689e-02   3.986 6.92e-05 ***
## party_fe106             9.185e-02  1.020e-01   0.901 0.367857    
## party_fe107            -8.159e-02  1.222e-01  -0.668 0.504455    
## party_fe108             4.437e-02  9.756e-02   0.455 0.649314    
## party_fe109             5.660e-02  9.919e-02   0.571 0.568312    
## party_fe110            -3.472e-02  1.855e-01  -0.187 0.851531    
## party_fe111                    NA         NA      NA       NA    
## party_fe112             1.679e-02  1.233e-01   0.136 0.891676    
## party_fe113             7.584e-02  9.827e-02   0.772 0.440383    
## party_fe114             2.864e-02  9.799e-02   0.292 0.770091    
## party_fe115                    NA         NA      NA       NA    
## party_fe116             2.537e-01  1.021e-01   2.484 0.013048 *  
## party_fe117            -4.557e-02  1.194e-01  -0.381 0.702879    
## party_fe118            -1.577e-02  9.880e-02  -0.160 0.873188    
## party_fe119                    NA         NA      NA       NA    
## party_fe120             6.923e-02  9.798e-02   0.707 0.479853    
## party_fe121             4.869e-01  1.431e-01   3.403 0.000677 ***
## party_fe122             4.445e-01  1.129e-01   3.938 8.44e-05 ***
## party_fe123             6.743e-01  1.530e-01   4.407 1.09e-05 ***
## party_fe124             1.068e-01  1.130e-01   0.945 0.344822    
## party_fe125             1.800e-01  9.583e-02   1.878 0.060517 .  
## party_fe126             3.214e-02  1.019e-01   0.315 0.752476    
## party_fe127                    NA         NA      NA       NA    
## party_fe128            -1.125e-02  9.663e-02  -0.116 0.907352    
## party_fe129             2.760e-01  1.505e-01   1.833 0.066875 .  
## party_fe130             1.071e-01  9.574e-02   1.118 0.263631    
## party_fe131                    NA         NA      NA       NA    
## party_fe132             2.334e-04  9.492e-02   0.002 0.998038    
## party_fe133             4.652e-02  9.654e-02   0.482 0.629975    
## party_fe134             4.667e-02  1.102e-01   0.424 0.671905    
## party_fe135                    NA         NA      NA       NA    
## party_fe136                    NA         NA      NA       NA    
## party_fe137             3.419e-02  9.534e-02   0.359 0.719921    
## party_fe138            -4.321e-03  9.431e-02  -0.046 0.963460    
## party_fe139             4.773e-02  9.432e-02   0.506 0.612872    
## party_fe140             3.577e-02  1.031e-01   0.347 0.728754    
## party_fe141                    NA         NA      NA       NA    
## party_fe142            -2.309e-02  1.057e-01  -0.218 0.827155    
## party_fe143            -3.106e-02  1.032e-01  -0.301 0.763515    
## party_fe144                    NA         NA      NA       NA    
## party_fe145             1.978e-02  1.035e-01   0.191 0.848475    
## party_fe146             1.297e-01  1.591e-01   0.815 0.415096    
## party_fe147             6.629e-02  1.308e-01   0.507 0.612289    
## party_fe148             1.009e-01  9.078e-02   1.111 0.266491    
## party_fe149            -2.764e-02  1.250e-01  -0.221 0.824977    
## party_fe150             1.047e-01  8.916e-02   1.174 0.240433    
## party_fe151             2.132e-01  8.982e-02   2.373 0.017712 *  
## party_fe152             1.018e-01  1.119e-01   0.910 0.362921    
## party_fe153             4.929e-02  9.642e-02   0.511 0.609285    
## party_fe154             4.218e-02  1.130e-01   0.373 0.709058    
## party_fe155             2.682e-01  1.206e-01   2.224 0.026208 *  
## party_fe156             1.009e-01  9.151e-02   1.103 0.270286    
## party_fe157             1.052e-02  9.559e-02   0.110 0.912397    
## party_fe158             1.235e-01  9.013e-02   1.371 0.170626    
## party_fe159            -6.001e-02  8.943e-02  -0.671 0.502255    
## party_fe160                    NA         NA      NA       NA    
## party_fe161                    NA         NA      NA       NA    
## party_fe162                    NA         NA      NA       NA    
## party_fe163                    NA         NA      NA       NA    
## party_fe164                    NA         NA      NA       NA    
## party_fe165             1.022e-01  1.627e-01   0.628 0.530101    
## party_fe166             1.034e-01  1.628e-01   0.635 0.525428    
## party_fe167                    NA         NA      NA       NA    
## party_fe168                    NA         NA      NA       NA    
## party_fe169            -4.374e-02  1.626e-01  -0.269 0.788000    
## party_fe170            -4.969e-02  1.597e-01  -0.311 0.755765    
## party_fe171            -2.244e-02  1.373e-01  -0.163 0.870218    
## party_fe172            -5.025e-02  1.393e-01  -0.361 0.718279    
## party_fe173            -1.004e-01  1.373e-01  -0.731 0.464571    
## party_fe174            -5.102e-02  1.597e-01  -0.319 0.749400    
## party_fe175                    NA         NA      NA       NA    
## party_fe176                    NA         NA      NA       NA    
## party_fe177                    NA         NA      NA       NA    
## party_fe178            -4.855e-02  1.408e-01  -0.345 0.730336    
## party_fe179            -6.380e-02  1.384e-01  -0.461 0.644869    
## party_fe180            -4.019e-02  1.390e-01  -0.289 0.772500    
## party_fe181            -8.188e-02  1.385e-01  -0.591 0.554333    
## party_fe182                    NA         NA      NA       NA    
## party_fe183                    NA         NA      NA       NA    
## party_fe184            -6.147e-04  1.387e-01  -0.004 0.996464    
## party_fe185             5.872e-02  1.597e-01   0.368 0.713219    
## party_fe186            -2.165e-02  1.368e-01  -0.158 0.874244    
## party_fe187             1.003e-02  1.460e-01   0.069 0.945205    
## party_fe188             1.862e-03  1.460e-01   0.013 0.989824    
## party_fe189                    NA         NA      NA       NA    
## party_fe190                    NA         NA      NA       NA    
## party_fe191                    NA         NA      NA       NA    
## party_fe192                    NA         NA      NA       NA    
## party_fe193                    NA         NA      NA       NA    
## party_fe194                    NA         NA      NA       NA    
## party_fe195                    NA         NA      NA       NA    
## party_fe196            -9.060e-02  1.431e-01  -0.633 0.526673    
## party_fe197            -3.056e-02  1.432e-01  -0.213 0.831004    
## party_fe198            -1.015e-01  2.171e-01  -0.468 0.640012    
## party_fe199                    NA         NA      NA       NA    
## party_fe200                    NA         NA      NA       NA    
## party_fe201                    NA         NA      NA       NA    
## party_fe202                    NA         NA      NA       NA    
## party_fe203            -2.595e-02  1.389e-01  -0.187 0.851870    
## party_fe204                    NA         NA      NA       NA    
## party_fe205             6.435e-02  1.367e-01   0.471 0.637777    
## party_fe206             7.531e-02  1.367e-01   0.551 0.581669    
## party_fe207             1.050e-01  1.593e-01   0.659 0.509693    
## party_fe208             5.103e-02  1.367e-01   0.373 0.709016    
## party_fe209            -4.889e-03  1.402e-01  -0.035 0.972185    
## party_fe210            -1.150e-02  1.381e-01  -0.083 0.933594    
## party_fe211            -3.356e-02  1.388e-01  -0.242 0.808902    
## party_fe212                    NA         NA      NA       NA    
## party_fe213            -8.868e-02  1.381e-01  -0.642 0.520873    
## party_fe214            -2.803e-02  1.381e-01  -0.203 0.839179    
## party_fe215            -1.654e-01  1.382e-01  -1.197 0.231538    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2814 on 2402 degrees of freedom
## Multiple R-squared:  0.7883, Adjusted R-squared:  0.7711 
## F-statistic: 45.65 on 196 and 2402 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb151"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb151-1" data-line-number="1"><span class="kw">stargazer</span>(model_auth)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:10
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; auth \\ 
## \hline \\[-1.8ex] 
##  lag\_auth &amp; 0.707$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.137 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.0001 \\ 
##   &amp; (0.010) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.001 \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_auth &amp; 0.0001 \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.067 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.110$^{*}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.098$^{*}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.077 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.132$^{**}$ \\ 
##   &amp; (0.057) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.117$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.134$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.117$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.175$^{***}$ \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.231$^{***}$ \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.239$^{***}$ \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.249$^{***}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.198$^{***}$ \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.149$^{**}$ \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.217$^{***}$ \\ 
##   &amp; (0.060) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.062) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.242$^{***}$ \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.214$^{***}$ \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.269$^{***}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.212$^{***}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.250$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.249$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.220$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.276$^{***}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.260$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.239$^{***}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.299$^{***}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.290$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.269$^{***}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.267$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.303$^{***}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; 0.078 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.028 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.072 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.0001 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.009 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.023 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.022 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; $-$0.013 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; $-$0.032 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; $-$0.025 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe12 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe13 &amp; 0.069 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; 0.052 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.029 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; 0.052 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.120 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.052 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.100 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.100 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.041 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.093 \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.034 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.019 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.046 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; 0.239$^{**}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe27 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe28 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.005 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; $-$0.050 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.192$^{**}$ \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.120 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.264$^{*}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.120 \\ 
##   &amp; (0.093) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.056 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe36 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.121 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.220$^{**}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe39 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.142 \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe41 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.077 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.193 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.147 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.086 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.197$^{**}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.106 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.137 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.107 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.117 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.140 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.105 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.078 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.152 \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.117 \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.057 \\ 
##   &amp; (0.179) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; $-$0.027 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe58 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.063 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.239$^{*}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe61 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe62 &amp; 0.116 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe63 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.090 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.130 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.090 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.025 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe68 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe69 &amp; 0.016 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.001 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe71 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe72 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe73 &amp; $-$0.005 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.051 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; $-$0.005 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.020 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.028 \\ 
##   &amp; (0.100) \\ 
##   &amp; \\ 
##  party\_fe78 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.242$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe80 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.090 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.020 \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; 0.067 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; $-$0.043 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.121 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe86 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.990$^{***}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.215$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe89 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.044 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.177 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.103 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe94 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe95 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.262$^{**}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe97 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe98 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe99 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.265$^{*}$ \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.462$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.454$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.825$^{***}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe104 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.386$^{***}$ \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.092 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; $-$0.082 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; 0.044 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.057 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; $-$0.035 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe111 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.017 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.076 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.029 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe115 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.046 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.016 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe119 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.069 \\ 
##   &amp; (0.098) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.487$^{***}$ \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.445$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.674$^{***}$ \\ 
##   &amp; (0.153) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; 0.107 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.180$^{*}$ \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; 0.032 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe127 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.011 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.276$^{*}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.107 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe131 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.0002 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.047 \\ 
##   &amp; (0.097) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; 0.047 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe135 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe136 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.034 \\ 
##   &amp; (0.095) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; $-$0.004 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.048 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.036 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe141 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.023 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; $-$0.031 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe144 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.020 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.130 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.066 \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.101 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; $-$0.028 \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.105 \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.213$^{**}$ \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.102 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.049 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; 0.042 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.101 \\ 
##   &amp; (0.092) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.011 \\ 
##   &amp; (0.096) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.124 \\ 
##   &amp; (0.090) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; $-$0.060 \\ 
##   &amp; (0.089) \\ 
##   &amp; \\ 
##  party\_fe160 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe161 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe162 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe163 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe164 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe165 &amp; 0.102 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.103 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe167 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe168 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe169 &amp; $-$0.044 \\ 
##   &amp; (0.163) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; $-$0.050 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.022 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; $-$0.050 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; $-$0.100 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; $-$0.051 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe175 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe176 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe177 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe178 &amp; $-$0.049 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.064 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; $-$0.040 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; $-$0.082 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe182 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe183 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe184 &amp; $-$0.001 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.059 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; $-$0.022 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.010 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.002 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe189 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe190 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe191 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe192 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe193 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe194 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe195 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe196 &amp; $-$0.091 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; $-$0.031 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.102 \\ 
##   &amp; (0.217) \\ 
##   &amp; \\ 
##  party\_fe199 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe200 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe201 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe202 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.026 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe204 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.064 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.075 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.105 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.051 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; $-$0.005 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; $-$0.012 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; $-$0.034 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe212 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe213 &amp; $-$0.089 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; $-$0.028 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; $-$0.165 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.342 \\ 
##   &amp; (0.714) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,599 \\ 
## R$^{2}$ &amp; 0.788 \\ 
## Adjusted R$^{2}$ &amp; 0.771 \\ 
## Residual Std. Error &amp; 0.281 (df = 2402) \\ 
## F Statistic &amp; 45.646$^{***}$ (df = 196; 2402) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb153"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb153-1" data-line-number="1">model_eco &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;eco ~ lag_eco + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_eco + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb153-2" data-line-number="2"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb153-3" data-line-number="3"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +  &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb153-4" data-line-number="4"></a>
<a class="sourceLine" id="cb153-5" data-line-number="5">model_eco &lt;-<span class="st"> </span><span class="kw">lm</span>(model_eco, <span class="dt">data =</span> dataframe_eco)</a>
<a class="sourceLine" id="cb153-6" data-line-number="6"><span class="kw">summary</span>(model_eco)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_eco, data = dataframe_eco)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.05150 -0.02341 -0.00131  0.01884  1.73247 
## 
## Coefficients: (56 not defined because of singularities)
##                         Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            0.0517204  0.2798553   0.185 0.853393    
## lag_eco                0.6669112  0.0145217  45.925  &lt; 2e-16 ***
## lag_cmedian            0.0570435  0.0534815   1.067 0.286258    
## lag_econ_glob          0.0057554  0.0038245   1.505 0.132488    
## interaction           -0.0009303  0.0007153  -1.301 0.193545    
## spsamegroup_ruled_eco  0.0015905  0.0011013   1.444 0.148804    
## year_fe2              -0.0742361  0.0229825  -3.230 0.001254 ** 
## year_fe3              -0.0294342  0.0227372  -1.295 0.195604    
## year_fe4              -0.0475020  0.0228793  -2.076 0.037982 *  
## year_fe5              -0.0398788  0.0229210  -1.740 0.082016 .  
## year_fe6              -0.0614407  0.0225766  -2.721 0.006547 ** 
## year_fe7              -0.0486674  0.0229752  -2.118 0.034256 *  
## year_fe8              -0.0796036  0.0226851  -3.509 0.000458 ***
## year_fe9              -0.0403349  0.0228662  -1.764 0.077867 .  
## year_fe10             -0.0335897  0.0221431  -1.517 0.129414    
## year_fe11             -0.0499443  0.0220687  -2.263 0.023717 *  
## year_fe12             -0.0914968  0.0220149  -4.156 3.35e-05 ***
## year_fe13             -0.0859069  0.0221213  -3.883 0.000106 ***
## year_fe14             -0.0606903  0.0227828  -2.664 0.007777 ** 
## year_fe15             -0.0877469  0.0231121  -3.797 0.000150 ***
## year_fe16             -0.0748960  0.0235846  -3.176 0.001514 ** 
## year_fe17             -0.0831182  0.0236655  -3.512 0.000453 ***
## year_fe18             -0.0638401  0.0243149  -2.626 0.008706 ** 
## year_fe19             -0.0742842  0.0248154  -2.993 0.002786 ** 
## year_fe20             -0.0817845  0.0245745  -3.328 0.000888 ***
## year_fe21             -0.0724711  0.0252893  -2.866 0.004197 ** 
## year_fe22             -0.0860628  0.0264809  -3.250 0.001170 ** 
## year_fe23             -0.0922814  0.0276953  -3.332 0.000875 ***
## year_fe24             -0.0895093  0.0279542  -3.202 0.001383 ** 
## year_fe25             -0.1017987  0.0296154  -3.437 0.000597 ***
## year_fe26             -0.1063448  0.0291942  -3.643 0.000276 ***
## year_fe27             -0.1055430  0.0280187  -3.767 0.000169 ***
## year_fe28             -0.0995319  0.0279712  -3.558 0.000380 ***
## year_fe29             -0.0919489  0.0280651  -3.276 0.001067 ** 
## year_fe30             -0.1048696  0.0271616  -3.861 0.000116 ***
## year_fe31             -0.1082416  0.0277587  -3.899 9.91e-05 ***
## year_fe32             -0.1013669  0.0283704  -3.573 0.000360 ***
## year_fe33             -0.1093061  0.0276655  -3.951 8.01e-05 ***
## year_fe34             -0.1125771  0.0273018  -4.123 3.86e-05 ***
## party_fe2              0.0015681  0.0403847   0.039 0.969030    
## party_fe3              0.0064346  0.0412309   0.156 0.875997    
## party_fe4              0.0883724  0.0409016   2.161 0.030824 *  
## party_fe5              0.0757087  0.0408433   1.854 0.063913 .  
## party_fe6              0.1984431  0.0421628   4.707 2.66e-06 ***
## party_fe7              0.0014964  0.0489362   0.031 0.975609    
## party_fe8              0.0320411  0.0489509   0.655 0.512816    
## party_fe9              0.0546259  0.0489669   1.116 0.264718    
## party_fe10             0.0352087  0.0489527   0.719 0.472064    
## party_fe11             0.2934119  0.0505300   5.807 7.21e-09 ***
## party_fe12                    NA         NA      NA       NA    
## party_fe13            -0.0225930  0.0459278  -0.492 0.622817    
## party_fe14            -0.0313837  0.0446593  -0.703 0.482288    
## party_fe15             0.0079143  0.0400076   0.198 0.843203    
## party_fe16            -0.0064390  0.0345120  -0.187 0.852012    
## party_fe17            -0.0159966  0.0351527  -0.455 0.649106    
## party_fe18             0.0975523  0.0367728   2.653 0.008034 ** 
## party_fe19            -0.0028822  0.0345505  -0.083 0.933526    
## party_fe20             0.1127880  0.0350728   3.216 0.001318 ** 
## party_fe21             0.0065860  0.0352439   0.187 0.851778    
## party_fe22             0.1480659  0.0353901   4.184 2.97e-05 ***
## party_fe23            -0.0231009  0.0431069  -0.536 0.592078    
## party_fe24             0.0117753  0.0403431   0.292 0.770404    
## party_fe25             0.0145266  0.0403658   0.360 0.718974    
## party_fe26            -0.0069850  0.0411659  -0.170 0.865276    
## party_fe27                    NA         NA      NA       NA    
## party_fe28                    NA         NA      NA       NA    
## party_fe29             0.0118724  0.0404685   0.293 0.769262    
## party_fe30             0.1774554  0.0414354   4.283 1.92e-05 ***
## party_fe31            -0.0044806  0.0358145  -0.125 0.900451    
## party_fe32             0.0129431  0.0358229   0.361 0.717902    
## party_fe33             0.0028172  0.0543914   0.052 0.958696    
## party_fe34            -0.0222145  0.0365540  -0.608 0.543432    
## party_fe35            -0.0269472  0.0359030  -0.751 0.452994    
## party_fe36                    NA         NA      NA       NA    
## party_fe37             0.1170725  0.0358213   3.268 0.001097 ** 
## party_fe38             0.1042836  0.0403667   2.583 0.009842 ** 
## party_fe39                    NA         NA      NA       NA    
## party_fe40             0.0432667  0.0639924   0.676 0.499028    
## party_fe41                    NA         NA      NA       NA    
## party_fe42             0.0619676  0.0513653   1.206 0.227779    
## party_fe43             0.7136462  0.0741193   9.628  &lt; 2e-16 ***
## party_fe44             0.0157655  0.0352935   0.447 0.655134    
## party_fe45             0.0228649  0.0353926   0.646 0.518319    
## party_fe46             0.0027160  0.0379073   0.072 0.942888    
## party_fe47            -0.0025137  0.0401641  -0.063 0.950102    
## party_fe48            -0.0372495  0.0441667  -0.843 0.399098    
## party_fe49            -0.0127510  0.0358531  -0.356 0.722138    
## party_fe50             0.0212018  0.0353430   0.600 0.548639    
## party_fe51             0.0828706  0.0357664   2.317 0.020588 *  
## party_fe52             0.0007486  0.0703179   0.011 0.991506    
## party_fe53             0.0143120  0.0357444   0.400 0.688899    
## party_fe54             0.0289277  0.0632718   0.457 0.647570    
## party_fe55             0.0455859  0.0488029   0.934 0.350355    
## party_fe56             0.0554822  0.0703443   0.789 0.430352    
## party_fe57             0.1232998  0.0629724   1.958 0.050346 .  
## party_fe58                    NA         NA      NA       NA    
## party_fe59            -0.0287413  0.0494187  -0.582 0.560899    
## party_fe60            -0.0216052  0.0479677  -0.450 0.652455    
## party_fe61                    NA         NA      NA       NA    
## party_fe62            -0.0236825  0.0429079  -0.552 0.581042    
## party_fe63                    NA         NA      NA       NA    
## party_fe64            -0.0193810  0.0373067  -0.520 0.603456    
## party_fe65             0.0362820  0.0370279   0.980 0.327255    
## party_fe66             0.0171088  0.0369660   0.463 0.643531    
## party_fe67             0.0038988  0.0418251   0.093 0.925739    
## party_fe68                    NA         NA      NA       NA    
## party_fe69             0.0026105  0.0379461   0.069 0.945160    
## party_fe70             0.0038089  0.0384213   0.099 0.921038    
## party_fe71                    NA         NA      NA       NA    
## party_fe72                    NA         NA      NA       NA    
## party_fe73             0.2849208  0.0417460   6.825 1.11e-11 ***
## party_fe74             0.1807263  0.0446592   4.047 5.36e-05 ***
## party_fe75             0.0264617  0.0382087   0.693 0.488654    
## party_fe76             0.0578435  0.0503072   1.150 0.250339    
## party_fe77             0.1283341  0.0399462   3.213 0.001332 ** 
## party_fe78                    NA         NA      NA       NA    
## party_fe79             0.0037638  0.0430717   0.087 0.930373    
## party_fe80                    NA         NA      NA       NA    
## party_fe81            -0.0060921  0.0497314  -0.122 0.902513    
## party_fe82             0.0674868  0.0519889   1.298 0.194378    
## party_fe83             0.0105433  0.0417340   0.253 0.800576    
## party_fe84            -0.0026823  0.0545602  -0.049 0.960794    
## party_fe85             0.0447453  0.0383755   1.166 0.243735    
## party_fe86                    NA         NA      NA       NA    
## party_fe87            -0.0045944  0.0397644  -0.116 0.908026    
## party_fe88             0.0263779  0.0422964   0.624 0.532921    
## party_fe89                    NA         NA      NA       NA    
## party_fe90            -0.0160593  0.0550886  -0.292 0.770680    
## party_fe91             0.0502534  0.0436194   1.152 0.249399    
## party_fe92             0.0691128  0.0435683   1.586 0.112801    
## party_fe93             0.2060406  0.0443702   4.644 3.61e-06 ***
## party_fe94                    NA         NA      NA       NA    
## party_fe95                    NA         NA      NA       NA    
## party_fe96             0.0595202  0.0401587   1.482 0.138438    
## party_fe97                    NA         NA      NA       NA    
## party_fe98                    NA         NA      NA       NA    
## party_fe99                    NA         NA      NA       NA    
## party_fe100            0.0646601  0.0545237   1.186 0.235776    
## party_fe101            0.0101655  0.0634790   0.160 0.872785    
## party_fe102            0.0928948  0.0437731   2.122 0.033924 *  
## party_fe103            0.0620383  0.0546713   1.135 0.256593    
## party_fe104                   NA         NA      NA       NA    
## party_fe105            0.0575692  0.0377614   1.525 0.127502    
## party_fe106            0.0270681  0.0400524   0.676 0.499222    
## party_fe107            0.0028072  0.0480756   0.058 0.953442    
## party_fe108           -0.0008982  0.0383318  -0.023 0.981307    
## party_fe109           -0.0017025  0.0388410  -0.044 0.965042    
## party_fe110            0.1134408  0.0730316   1.553 0.120480    
## party_fe111                   NA         NA      NA       NA    
## party_fe112            0.0255388  0.0484626   0.527 0.598257    
## party_fe113            0.0576078  0.0388623   1.482 0.138377    
## party_fe114            0.0303777  0.0385697   0.788 0.431006    
## party_fe115                   NA         NA      NA       NA    
## party_fe116            0.0006357  0.0400208   0.016 0.987327    
## party_fe117            0.0128814  0.0469383   0.274 0.783776    
## party_fe118            0.0182277  0.0387273   0.471 0.637921    
## party_fe119                   NA         NA      NA       NA    
## party_fe120            0.0748625  0.0386151   1.939 0.052657 .  
## party_fe121           -0.0077576  0.0560308  -0.138 0.889895    
## party_fe122            0.0015738  0.0427883   0.037 0.970663    
## party_fe123           -0.0085405  0.0589322  -0.145 0.884786    
## party_fe124            0.0063996  0.0443196   0.144 0.885199    
## party_fe125            0.0022480  0.0372374   0.060 0.951867    
## party_fe126            0.0016153  0.0400372   0.040 0.967822    
## party_fe127                   NA         NA      NA       NA    
## party_fe128            0.0585003  0.0379197   1.543 0.123026    
## party_fe129           -0.0085405  0.0589322  -0.145 0.884786    
## party_fe130            0.0523726  0.0377192   1.388 0.165118    
## party_fe131                   NA         NA      NA       NA    
## party_fe132            0.0618654  0.0375035   1.650 0.099158 .  
## party_fe133            0.0082556  0.0379330   0.218 0.827730    
## party_fe134            0.0044847  0.0432977   0.104 0.917513    
## party_fe135                   NA         NA      NA       NA    
## party_fe136                   NA         NA      NA       NA    
## party_fe137            0.0038203  0.0373828   0.102 0.918612    
## party_fe138            0.1422482  0.0375149   3.792 0.000153 ***
## party_fe139            0.0755639  0.0372403   2.029 0.042559 *  
## party_fe140            0.0285059  0.0405106   0.704 0.481709    
## party_fe141                   NA         NA      NA       NA    
## party_fe142            0.0381367  0.0413903   0.921 0.356938    
## party_fe143            0.0480971  0.0407837   1.179 0.238388    
## party_fe144                   NA         NA      NA       NA    
## party_fe145            0.0764367  0.0412584   1.853 0.064058 .  
## party_fe146            0.0416237  0.0625264   0.666 0.505668    
## party_fe147            0.0048300  0.0513850   0.094 0.925121    
## party_fe148           -0.0093127  0.0356010  -0.262 0.793664    
## party_fe149            0.0231853  0.0491128   0.472 0.636911    
## party_fe150            0.0214594  0.0350281   0.613 0.540177    
## party_fe151            0.1333504  0.0357582   3.729 0.000197 ***
## party_fe152           -0.0119157  0.0440689  -0.270 0.786885    
## party_fe153            0.0022586  0.0378762   0.060 0.952455    
## party_fe154           -0.0117290  0.0444229  -0.264 0.791779    
## party_fe155           -0.0123705  0.0472464  -0.262 0.793475    
## party_fe156           -0.0001140  0.0358458  -0.003 0.997463    
## party_fe157            0.0900418  0.0377056   2.388 0.017016 *  
## party_fe158            0.0232142  0.0353678   0.656 0.511651    
## party_fe159            0.0150805  0.0351022   0.430 0.667513    
## party_fe160                   NA         NA      NA       NA    
## party_fe161                   NA         NA      NA       NA    
## party_fe162                   NA         NA      NA       NA    
## party_fe163                   NA         NA      NA       NA    
## party_fe164                   NA         NA      NA       NA    
## party_fe165            0.1013145  0.0640729   1.581 0.113955    
## party_fe166            0.3436511  0.0648483   5.299 1.27e-07 ***
## party_fe167                   NA         NA      NA       NA    
## party_fe168                   NA         NA      NA       NA    
## party_fe169            0.1484190  0.0641199   2.315 0.020713 *  
## party_fe170            0.0239350  0.0627830   0.381 0.703063    
## party_fe171            0.0257691  0.0539612   0.478 0.633016    
## party_fe172            0.0151522  0.0545663   0.278 0.781279    
## party_fe173            0.1692309  0.0542674   3.118 0.001840 ** 
## party_fe174            0.0442446  0.0627816   0.705 0.481042    
## party_fe175                   NA         NA      NA       NA    
## party_fe176                   NA         NA      NA       NA    
## party_fe177                   NA         NA      NA       NA    
## party_fe178            0.0054987  0.0551684   0.100 0.920613    
## party_fe179            0.0188099  0.0543844   0.346 0.729472    
## party_fe180            0.0938739  0.0547327   1.715 0.086449 .  
## party_fe181            0.0856331  0.0544551   1.573 0.115956    
## party_fe182                   NA         NA      NA       NA    
## party_fe183                   NA         NA      NA       NA    
## party_fe184            0.0191678  0.0543592   0.353 0.724409    
## party_fe185            0.0150102  0.0627485   0.239 0.810961    
## party_fe186            0.0077122  0.0537679   0.143 0.885959    
## party_fe187            0.1553370  0.0576359   2.695 0.007085 ** 
## party_fe188            0.2293309  0.0576602   3.977 7.18e-05 ***
## party_fe189                   NA         NA      NA       NA    
## party_fe190                   NA         NA      NA       NA    
## party_fe191                   NA         NA      NA       NA    
## party_fe192                   NA         NA      NA       NA    
## party_fe193                   NA         NA      NA       NA    
## party_fe194                   NA         NA      NA       NA    
## party_fe195                   NA         NA      NA       NA    
## party_fe196            0.0940254  0.0562643   1.671 0.094825 .  
## party_fe197            0.0446970  0.0562697   0.794 0.427079    
## party_fe198            0.0562126  0.0852950   0.659 0.509935    
## party_fe199                   NA         NA      NA       NA    
## party_fe200                   NA         NA      NA       NA    
## party_fe201                   NA         NA      NA       NA    
## party_fe202                   NA         NA      NA       NA    
## party_fe203           -0.0199610  0.0544272  -0.367 0.713840    
## party_fe204                   NA         NA      NA       NA    
## party_fe205            0.0097411  0.0537147   0.181 0.856110    
## party_fe206           -0.0333026  0.0537495  -0.620 0.535587    
## party_fe207            0.0195569  0.0625783   0.313 0.754673    
## party_fe208            0.0147787  0.0537424   0.275 0.783346    
## party_fe209            0.0278003  0.0549959   0.505 0.613255    
## party_fe210            0.1006302  0.0543886   1.850 0.064406 .  
## party_fe211            0.1208839  0.0548742   2.203 0.027694 *  
## party_fe212                   NA         NA      NA       NA    
## party_fe213           -0.0042062  0.0543004  -0.077 0.938263    
## party_fe214            0.0358349  0.0543869   0.659 0.510030    
## party_fe215            0.0091775  0.0542784   0.169 0.865746    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1106 on 2402 degrees of freedom
## Multiple R-squared:  0.7962, Adjusted R-squared:  0.7796 
## F-statistic: 47.88 on 196 and 2402 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb155"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb155-1" data-line-number="1"><span class="kw">stargazer</span>(model_eco)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:10
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; eco \\ 
## \hline \\[-1.8ex] 
##  lag\_eco &amp; 0.667$^{***}$ \\ 
##   &amp; (0.015) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.057 \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.006 \\ 
##   &amp; (0.004) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.001 \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_eco &amp; 0.002 \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; $-$0.074$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; $-$0.029 \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; $-$0.048$^{**}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; $-$0.040$^{*}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; $-$0.061$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; $-$0.049$^{**}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; $-$0.080$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.040$^{*}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.034 \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; $-$0.050$^{**}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; $-$0.091$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; $-$0.086$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; $-$0.061$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.088$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.075$^{***}$ \\ 
##   &amp; (0.024) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.083$^{***}$ \\ 
##   &amp; (0.024) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.064$^{***}$ \\ 
##   &amp; (0.024) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.074$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.082$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.072$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.086$^{***}$ \\ 
##   &amp; (0.026) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.092$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.090$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.102$^{***}$ \\ 
##   &amp; (0.030) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.106$^{***}$ \\ 
##   &amp; (0.029) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.106$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.100$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.092$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.105$^{***}$ \\ 
##   &amp; (0.027) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.108$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.101$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.109$^{***}$ \\ 
##   &amp; (0.028) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.113$^{***}$ \\ 
##   &amp; (0.027) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; 0.002 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.006 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.088$^{**}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.076$^{*}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.198$^{***}$ \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; 0.001 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; 0.032 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.055 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.035 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.293$^{***}$ \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe12 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.023 \\ 
##   &amp; (0.046) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.031 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; 0.008 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.006 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.016 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.098$^{***}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; $-$0.003 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.113$^{***}$ \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.007 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.148$^{***}$ \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; $-$0.023 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.012 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; 0.015 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.007 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe27 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe28 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.012 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.177$^{***}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; $-$0.004 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.013 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.003 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; $-$0.022 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.027 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe36 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.117$^{***}$ \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.104$^{***}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe39 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.043 \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  party\_fe41 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.062 \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.714$^{***}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.016 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.023 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.003 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; $-$0.003 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.037 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; $-$0.013 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.021 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.083$^{**}$ \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; 0.001 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.014 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.029 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.046 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.055 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.123$^{*}$ \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe58 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.029 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; $-$0.022 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  party\_fe61 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.024 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe63 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.019 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.036 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.017 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; 0.004 \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe68 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe69 &amp; 0.003 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; 0.004 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe71 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe72 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.285$^{***}$ \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.181$^{***}$ \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.026 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.058 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.128$^{***}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe78 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.004 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe80 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe81 &amp; $-$0.006 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.067 \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; 0.011 \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; $-$0.003 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.045 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe86 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe87 &amp; $-$0.005 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.026 \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe89 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe90 &amp; $-$0.016 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.050 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.069 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.206$^{***}$ \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe94 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe95 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.060 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe97 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe98 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe99 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.065 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; 0.010 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.093$^{**}$ \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.062 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe104 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.058 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.027 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.003 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.001 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.002 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.113 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  party\_fe111 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.026 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.058 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.030 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe115 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.001 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.013 \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; 0.018 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe119 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.075$^{*}$ \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; $-$0.008 \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.002 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; $-$0.009 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; 0.006 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.002 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; 0.002 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe127 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.059 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; $-$0.009 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.052 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe131 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.062$^{*}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.008 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; 0.004 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe135 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe136 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.004 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.142$^{***}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.076$^{**}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.029 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe141 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.038 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.048 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe144 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.076$^{*}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.042 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.005 \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.009 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.023 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.021 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.133$^{***}$ \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; $-$0.012 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.002 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.012 \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; $-$0.012 \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; $-$0.0001 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.090$^{**}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.023 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.015 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe160 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe161 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe162 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe163 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe164 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe165 &amp; 0.101 \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.344$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  party\_fe167 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe168 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.148$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.024 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; 0.026 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.015 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.169$^{***}$ \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.044 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe175 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe176 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe177 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.005 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.019 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.094$^{*}$ \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.086 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe182 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe183 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.019 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.015 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.008 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.155$^{***}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.229$^{***}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe189 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe190 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe191 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe192 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe193 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe194 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe195 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.094$^{*}$ \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.045 \\ 
##   &amp; (0.056) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.056 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  party\_fe199 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe200 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe201 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe202 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.020 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe204 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.010 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.033 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.020 \\ 
##   &amp; (0.063) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.015 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.028 \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.101$^{*}$ \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.121$^{**}$ \\ 
##   &amp; (0.055) \\ 
##   &amp; \\ 
##  party\_fe212 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe213 &amp; $-$0.004 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.036 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.009 \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  Constant &amp; 0.052 \\ 
##   &amp; (0.280) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,599 \\ 
## R$^{2}$ &amp; 0.796 \\ 
## Adjusted R$^{2}$ &amp; 0.780 \\ 
## Residual Std. Error &amp; 0.111 (df = 2402) \\ 
## F Statistic &amp; 47.877$^{***}$ (df = 196; 2402) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb157"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb157-1" data-line-number="1">model_regu &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;regu ~ lag_regu + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled_regu + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb157-2" data-line-number="2"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 +  year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb157-3" data-line-number="3"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +  &quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb157-4" data-line-number="4"></a>
<a class="sourceLine" id="cb157-5" data-line-number="5">model_regu &lt;-<span class="st"> </span><span class="kw">lm</span>(model_regu, <span class="dt">data =</span> dataframe_regu)</a>
<a class="sourceLine" id="cb157-6" data-line-number="6"><span class="kw">summary</span>(model_regu)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_regu, data = dataframe_regu)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.77481 -0.03805 -0.00673  0.02836  0.81437 
## 
## Coefficients: (56 not defined because of singularities)
##                          Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)            -0.0357139  0.2561545  -0.139 0.889127    
## lag_regu                0.6516615  0.0142170  45.837  &lt; 2e-16 ***
## lag_cmedian             0.1043073  0.0491166   2.124 0.033800 *  
## lag_econ_glob           0.0048703  0.0035098   1.388 0.165385    
## interaction            -0.0013599  0.0006570  -2.070 0.038576 *  
## spsamegroup_ruled_regu  0.0020991  0.0010409   2.017 0.043851 *  
## year_fe2                0.0380104  0.0210548   1.805 0.071151 .  
## year_fe3                0.0637873  0.0208693   3.057 0.002264 ** 
## year_fe4                0.0613767  0.0209729   2.926 0.003460 ** 
## year_fe5                0.0319602  0.0210132   1.521 0.128401    
## year_fe6                0.0584166  0.0207242   2.819 0.004860 ** 
## year_fe7                0.0632927  0.0210956   3.000 0.002725 ** 
## year_fe8                0.0498447  0.0208241   2.394 0.016760 *  
## year_fe9                0.0723974  0.0210077   3.446 0.000578 ***
## year_fe10               0.0546510  0.0203134   2.690 0.007186 ** 
## year_fe11               0.1088412  0.0202476   5.376 8.37e-08 ***
## year_fe12               0.0724339  0.0201365   3.597 0.000328 ***
## year_fe13               0.0399318  0.0202738   1.970 0.048996 *  
## year_fe14               0.0925445  0.0209100   4.426 1.00e-05 ***
## year_fe15               0.0817718  0.0211701   3.863 0.000115 ***
## year_fe16               0.0822373  0.0216003   3.807 0.000144 ***
## year_fe17               0.1043564  0.0216713   4.815 1.56e-06 ***
## year_fe18               0.1071070  0.0222417   4.816 1.56e-06 ***
## year_fe19               0.1048557  0.0227085   4.617 4.09e-06 ***
## year_fe20               0.0900586  0.0224230   4.016 6.09e-05 ***
## year_fe21               0.1158869  0.0230828   5.020 5.53e-07 ***
## year_fe22               0.0999579  0.0241944   4.131 3.73e-05 ***
## year_fe23               0.1177250  0.0252618   4.660 3.33e-06 ***
## year_fe24               0.1215048  0.0254866   4.767 1.98e-06 ***
## year_fe25               0.1065945  0.0270486   3.941 8.35e-05 ***
## year_fe26               0.1109213  0.0267347   4.149 3.46e-05 ***
## year_fe27               0.1092496  0.0256473   4.260 2.13e-05 ***
## year_fe28               0.1013301  0.0256011   3.958 7.78e-05 ***
## year_fe29               0.1182985  0.0256829   4.606 4.32e-06 ***
## year_fe30               0.1109914  0.0248466   4.467 8.30e-06 ***
## year_fe31               0.1447506  0.0253961   5.700 1.35e-08 ***
## year_fe32               0.1316562  0.0259834   5.067 4.35e-07 ***
## year_fe33               0.1323836  0.0253398   5.224 1.90e-07 ***
## year_fe34               0.1600872  0.0249983   6.404 1.82e-10 ***
## party_fe2               0.0052438  0.0369798   0.142 0.887249    
## party_fe3              -0.0938425  0.0383708  -2.446 0.014529 *  
## party_fe4              -0.0631967  0.0374662  -1.687 0.091779 .  
## party_fe5              -0.0470751  0.0372989  -1.262 0.207034    
## party_fe6              -0.0800870  0.0375135  -2.135 0.032871 *  
## party_fe7              -0.0241243  0.0449847  -0.536 0.591815    
## party_fe8              -0.0586561  0.0449671  -1.304 0.192215    
## party_fe9              -0.0549881  0.0450412  -1.221 0.222266    
## party_fe10             -0.0520997  0.0450285  -1.157 0.247372    
## party_fe11             -0.0499103  0.0449403  -1.111 0.266855    
## party_fe12                     NA         NA      NA       NA    
## party_fe13             -0.0170693  0.0421810  -0.405 0.685758    
## party_fe14             -0.0391767  0.0410347  -0.955 0.339815    
## party_fe15             -0.0570995  0.0369355  -1.546 0.122255    
## party_fe16             -0.0537431  0.0318641  -1.687 0.091803 .  
## party_fe17             -0.0494870  0.0325674  -1.520 0.128761    
## party_fe18             -0.0434946  0.0336786  -1.291 0.196668    
## party_fe19             -0.0152935  0.0317881  -0.481 0.630485    
## party_fe20             -0.0547634  0.0320832  -1.707 0.087966 .  
## party_fe21             -0.0532902  0.0326157  -1.634 0.102415    
## party_fe22             -0.0776538  0.0319902  -2.427 0.015279 *  
## party_fe23             -0.0817562  0.0398461  -2.052 0.040297 *  
## party_fe24             -0.0534090  0.0372036  -1.436 0.151250    
## party_fe25              0.0479492  0.0369653   1.297 0.194707    
## party_fe26             -0.0865004  0.0382178  -2.263 0.023703 *  
## party_fe27                     NA         NA      NA       NA    
## party_fe28                     NA         NA      NA       NA    
## party_fe29             -0.0380561  0.0371741  -1.024 0.306067    
## party_fe30             -0.0974717  0.0375607  -2.595 0.009515 ** 
## party_fe31              0.0138123  0.0328956   0.420 0.674608    
## party_fe32              0.0329095  0.0328407   1.002 0.316398    
## party_fe33              0.1092433  0.0498623   2.191 0.028555 *  
## party_fe34              0.0350172  0.0336421   1.041 0.298039    
## party_fe35              0.0407058  0.0330132   1.233 0.217690    
## party_fe36                     NA         NA      NA       NA    
## party_fe37             -0.0167305  0.0325464  -0.514 0.607265    
## party_fe38             -0.0155065  0.0365685  -0.424 0.671575    
## party_fe39                     NA         NA      NA       NA    
## party_fe40             -0.0191666  0.0583167  -0.329 0.742438    
## party_fe41                     NA         NA      NA       NA    
## party_fe42              0.1065188  0.0469682   2.268 0.023424 *  
## party_fe43             -0.1255454  0.0647053  -1.940 0.052464 .  
## party_fe44             -0.0023581  0.0324161  -0.073 0.942015    
## party_fe45             -0.0004792  0.0325050  -0.015 0.988240    
## party_fe46             -0.0213764  0.0348879  -0.613 0.540121    
## party_fe47              0.0330480  0.0367875   0.898 0.369090    
## party_fe48             -0.0094202  0.0405176  -0.232 0.816172    
## party_fe49             -0.0139425  0.0331031  -0.421 0.673659    
## party_fe50              0.0208576  0.0323646   0.644 0.519340    
## party_fe51             -0.0233755  0.0325989  -0.717 0.473405    
## party_fe52             -0.0267046  0.0645004  -0.414 0.678894    
## party_fe53             -0.0075162  0.0327500  -0.230 0.818499    
## party_fe54              0.0945442  0.0579011   1.633 0.102631    
## party_fe55             -0.0483849  0.0448611  -1.079 0.280897    
## party_fe56             -0.0625450  0.0645292  -0.969 0.332518    
## party_fe57             -0.0191714  0.0575664  -0.333 0.739139    
## party_fe58                     NA         NA      NA       NA    
## party_fe59             -0.0125305  0.0453911  -0.276 0.782528    
## party_fe60              0.0925166  0.0439196   2.106 0.035264 *  
## party_fe61                     NA         NA      NA       NA    
## party_fe62             -0.0571607  0.0393846  -1.451 0.146814    
## party_fe63                     NA         NA      NA       NA    
## party_fe64              0.0327039  0.0343047   0.953 0.340516    
## party_fe65             -0.0035331  0.0339478  -0.104 0.917118    
## party_fe66              0.0486505  0.0337652   1.441 0.149758    
## party_fe67             -0.0776964  0.0384652  -2.020 0.043503 *  
## party_fe68                     NA         NA      NA       NA    
## party_fe69             -0.0349017  0.0348167  -1.002 0.316231    
## party_fe70             -0.0248136  0.0353696  -0.702 0.483026    
## party_fe71                     NA         NA      NA       NA    
## party_fe72                     NA         NA      NA       NA    
## party_fe73             -0.0864426  0.0370146  -2.335 0.019606 *  
## party_fe74             -0.0864560  0.0404302  -2.138 0.032585 *  
## party_fe75             -0.0923249  0.0353006  -2.615 0.008968 ** 
## party_fe76             -0.0808664  0.0461823  -1.751 0.080069 .  
## party_fe77             -0.0682875  0.0363432  -1.879 0.060371 .  
## party_fe78                     NA         NA      NA       NA    
## party_fe79             -0.1015213  0.0398046  -2.550 0.010819 *  
## party_fe80                     NA         NA      NA       NA    
## party_fe81             -0.0469401  0.0456763  -1.028 0.304209    
## party_fe82              0.0141800  0.0475078   0.298 0.765364    
## party_fe83              0.0054347  0.0382968   0.142 0.887164    
## party_fe84              0.1514581  0.0499994   3.029 0.002478 ** 
## party_fe85             -0.0176120  0.0351926  -0.500 0.616807    
## party_fe86                     NA         NA      NA       NA    
## party_fe87             -0.0874487  0.0367495  -2.380 0.017410 *  
## party_fe88             -0.0483608  0.0388715  -1.244 0.213578    
## party_fe89                     NA         NA      NA       NA    
## party_fe90              0.1314690  0.0506502   2.596 0.009499 ** 
## party_fe91             -0.0230329  0.0399898  -0.576 0.564689    
## party_fe92             -0.0808038  0.0401174  -2.014 0.044101 *  
## party_fe93             -0.0127003  0.0399694  -0.318 0.750702    
## party_fe94                     NA         NA      NA       NA    
## party_fe95                     NA         NA      NA       NA    
## party_fe96             -0.0508765  0.0367911  -1.383 0.166840    
## party_fe97                     NA         NA      NA       NA    
## party_fe98                     NA         NA      NA       NA    
## party_fe99                     NA         NA      NA       NA    
## party_fe100            -0.1533312  0.0501049  -3.060 0.002236 ** 
## party_fe101            -0.0651936  0.0582579  -1.119 0.263230    
## party_fe102            -0.1117599  0.0400248  -2.792 0.005276 ** 
## party_fe103            -0.1104118  0.0503213  -2.194 0.028321 *  
## party_fe104                    NA         NA      NA       NA    
## party_fe105            -0.0367719  0.0346067  -1.063 0.288086    
## party_fe106            -0.0761610  0.0368052  -2.069 0.038625 *  
## party_fe107             0.0859720  0.0442005   1.945 0.051886 .  
## party_fe108            -0.0265485  0.0351967  -0.754 0.450750    
## party_fe109            -0.0059301  0.0357484  -0.166 0.868263    
## party_fe110            -0.1411269  0.0667736  -2.114 0.034660 *  
## party_fe111                    NA         NA      NA       NA    
## party_fe112             0.0793551  0.0443518   1.789 0.073706 .  
## party_fe113            -0.0339116  0.0354950  -0.955 0.339477    
## party_fe114            -0.0329442  0.0353172  -0.933 0.351013    
## party_fe115                    NA         NA      NA       NA    
## party_fe116            -0.0570212  0.0367843  -1.550 0.121238    
## party_fe117            -0.0607704  0.0431235  -1.409 0.158900    
## party_fe118            -0.0380456  0.0356035  -1.069 0.285361    
## party_fe119                    NA         NA      NA       NA    
## party_fe120            -0.0362112  0.0352898  -1.026 0.304943    
## party_fe121            -0.0984899  0.0515030  -1.912 0.055955 .  
## party_fe122            -0.0679337  0.0393919  -1.725 0.084736 .  
## party_fe123            -0.0971553  0.0542065  -1.792 0.073208 .  
## party_fe124             0.0713219  0.0406280   1.755 0.079304 .  
## party_fe125            -0.0095029  0.0341523  -0.278 0.780843    
## party_fe126             0.0516261  0.0366581   1.408 0.159168    
## party_fe127                    NA         NA      NA       NA    
## party_fe128             0.0218246  0.0347520   0.628 0.530057    
## party_fe129            -0.0971553  0.0542065  -1.792 0.073208 .  
## party_fe130            -0.0214891  0.0344590  -0.624 0.532941    
## party_fe131                    NA         NA      NA       NA    
## party_fe132            -0.0328688  0.0342571  -0.959 0.337417    
## party_fe133             0.0327007  0.0347271   0.942 0.346469    
## party_fe134            -0.0649169  0.0398226  -1.630 0.103200    
## party_fe135                    NA         NA      NA       NA    
## party_fe136                    NA         NA      NA       NA    
## party_fe137             0.0005089  0.0343788   0.015 0.988190    
## party_fe138            -0.0168016  0.0339694  -0.495 0.620921    
## party_fe139            -0.0229184  0.0340067  -0.674 0.500417    
## party_fe140            -0.0698301  0.0373580  -1.869 0.061715 .  
## party_fe141                    NA         NA      NA       NA    
## party_fe142            -0.0420673  0.0382076  -1.101 0.270998    
## party_fe143            -0.0182937  0.0372775  -0.491 0.623653    
## party_fe144                    NA         NA      NA       NA    
## party_fe145            -0.0617696  0.0374838  -1.648 0.099503 .  
## party_fe146            -0.0851973  0.0572763  -1.487 0.137020    
## party_fe147            -0.0794830  0.0473275  -1.679 0.093199 .  
## party_fe148            -0.0196911  0.0328205  -0.600 0.548588    
## party_fe149            -0.0435313  0.0450560  -0.966 0.334061    
## party_fe150            -0.0134890  0.0321572  -0.419 0.674909    
## party_fe151            -0.0388888  0.0323874  -1.201 0.229971    
## party_fe152            -0.1113473  0.0406896  -2.737 0.006255 ** 
## party_fe153             0.0304921  0.0347236   0.878 0.379957    
## party_fe154            -0.0223545  0.0408281  -0.548 0.584067    
## party_fe155             0.1198563  0.0432585   2.771 0.005637 ** 
## party_fe156             0.0229191  0.0329407   0.696 0.486641    
## party_fe157             0.0312564  0.0343677   0.909 0.363193    
## party_fe158             0.0273480  0.0323444   0.846 0.397901    
## party_fe159             0.0025681  0.0322741   0.080 0.936584    
## party_fe160                    NA         NA      NA       NA    
## party_fe161                    NA         NA      NA       NA    
## party_fe162                    NA         NA      NA       NA    
## party_fe163                    NA         NA      NA       NA    
## party_fe164                    NA         NA      NA       NA    
## party_fe165             0.0788774  0.0585247   1.348 0.177862    
## party_fe166            -0.1200076  0.0585717  -2.049 0.040580 *  
## party_fe167                    NA         NA      NA       NA    
## party_fe168                    NA         NA      NA       NA    
## party_fe169            -0.0797086  0.0585301  -1.362 0.173376    
## party_fe170             0.1205509  0.0575745   2.094 0.036380 *  
## party_fe171             0.2633216  0.0495896   5.310 1.20e-07 ***
## party_fe172            -0.0090930  0.0501446  -0.181 0.856119    
## party_fe173            -0.0749345  0.0496348  -1.510 0.131247    
## party_fe174             0.1029003  0.0574377   1.792 0.073337 .  
## party_fe175                    NA         NA      NA       NA    
## party_fe176                    NA         NA      NA       NA    
## party_fe177                    NA         NA      NA       NA    
## party_fe178            -0.0835568  0.0509038  -1.641 0.100832    
## party_fe179            -0.0044831  0.0498950  -0.090 0.928414    
## party_fe180            -0.0909305  0.0503213  -1.807 0.070888 .  
## party_fe181            -0.0531731  0.0499638  -1.064 0.287330    
## party_fe182                    NA         NA      NA       NA    
## party_fe183                    NA         NA      NA       NA    
## party_fe184            -0.0433469  0.0502129  -0.863 0.388079    
## party_fe185            -0.1355098  0.0576657  -2.350 0.018858 *  
## party_fe186             0.2485551  0.0492485   5.047 4.83e-07 ***
## party_fe187            -0.0868245  0.0527058  -1.647 0.099618 .  
## party_fe188             0.0360253  0.0525605   0.685 0.493153    
## party_fe189                    NA         NA      NA       NA    
## party_fe190                    NA         NA      NA       NA    
## party_fe191                    NA         NA      NA       NA    
## party_fe192                    NA         NA      NA       NA    
## party_fe193                    NA         NA      NA       NA    
## party_fe194                    NA         NA      NA       NA    
## party_fe195                    NA         NA      NA       NA    
## party_fe196            -0.1197429  0.0517390  -2.314 0.020732 *  
## party_fe197            -0.1322329  0.0518762  -2.549 0.010865 *  
## party_fe198            -0.1187398  0.0783088  -1.516 0.129574    
## party_fe199                    NA         NA      NA       NA    
## party_fe200                    NA         NA      NA       NA    
## party_fe201                    NA         NA      NA       NA    
## party_fe202                    NA         NA      NA       NA    
## party_fe203            -0.0856957  0.0502297  -1.706 0.088123 .  
## party_fe204                    NA         NA      NA       NA    
## party_fe205            -0.0755173  0.0494555  -1.527 0.126899    
## party_fe206            -0.0931930  0.0494081  -1.886 0.059390 .  
## party_fe207            -0.1223245  0.0576125  -2.123 0.033837 *  
## party_fe208            -0.0933540  0.0494947  -1.886 0.059397 .  
## party_fe209            -0.1422331  0.0508246  -2.799 0.005175 ** 
## party_fe210            -0.1081618  0.0499472  -2.166 0.030446 *  
## party_fe211            -0.1249075  0.0502666  -2.485 0.013026 *  
## party_fe212                    NA         NA      NA       NA    
## party_fe213            -0.0969582  0.0499997  -1.939 0.052597 .  
## party_fe214            -0.1209089  0.0499357  -2.421 0.015539 *  
## party_fe215            -0.0247008  0.0498308  -0.496 0.620156    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.1012 on 2402 degrees of freedom
## Multiple R-squared:  0.7275, Adjusted R-squared:  0.7053 
## F-statistic: 32.73 on 196 and 2402 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb159"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb159-1" data-line-number="1"><span class="kw">stargazer</span>(model_regu)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:11
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; regu \\ 
## \hline \\[-1.8ex] 
##  lag\_regu &amp; 0.652$^{***}$ \\ 
##   &amp; (0.014) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.104$^{**}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.005 \\ 
##   &amp; (0.004) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.001$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled\_regu &amp; 0.002$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.038$^{*}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.064$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.061$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.032 \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.058$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.063$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.050$^{**}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.072$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.055$^{***}$ \\ 
##   &amp; (0.020) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.109$^{***}$ \\ 
##   &amp; (0.020) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.072$^{***}$ \\ 
##   &amp; (0.020) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.040$^{**}$ \\ 
##   &amp; (0.020) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.093$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; 0.082$^{***}$ \\ 
##   &amp; (0.021) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.082$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.104$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.107$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.105$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.090$^{***}$ \\ 
##   &amp; (0.022) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.116$^{***}$ \\ 
##   &amp; (0.023) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.100$^{***}$ \\ 
##   &amp; (0.024) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.118$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.122$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.107$^{***}$ \\ 
##   &amp; (0.027) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.111$^{***}$ \\ 
##   &amp; (0.027) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.109$^{***}$ \\ 
##   &amp; (0.026) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.101$^{***}$ \\ 
##   &amp; (0.026) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.118$^{***}$ \\ 
##   &amp; (0.026) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.111$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.145$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.132$^{***}$ \\ 
##   &amp; (0.026) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.132$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.160$^{***}$ \\ 
##   &amp; (0.025) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; 0.005 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.094$^{**}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; $-$0.063$^{*}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; $-$0.047 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; $-$0.080$^{**}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.024 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.059 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; $-$0.055 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; $-$0.052 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; $-$0.050 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe12 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.017 \\ 
##   &amp; (0.042) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.039 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.057 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.054$^{*}$ \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; $-$0.049 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; $-$0.043 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; $-$0.015 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; $-$0.055$^{*}$ \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; $-$0.053 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; $-$0.078$^{**}$ \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; $-$0.082$^{**}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; $-$0.053 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; 0.048 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.087$^{**}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe27 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe28 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe29 &amp; $-$0.038 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; $-$0.097$^{***}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.014 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.033 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.109$^{**}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.035 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.041 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe36 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe37 &amp; $-$0.017 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; $-$0.016 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe39 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe40 &amp; $-$0.019 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe41 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.107$^{**}$ \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; $-$0.126$^{*}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; $-$0.002 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; $-$0.0005 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; $-$0.021 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.033 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; $-$0.009 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; $-$0.014 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.021 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; $-$0.023 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.027 \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; $-$0.008 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.095 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; $-$0.048 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; $-$0.063 \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; $-$0.019 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe58 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.013 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.093$^{**}$ \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe61 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.057 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe63 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.033 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; $-$0.004 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.049 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.078$^{**}$ \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe68 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.035 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.025 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe71 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe72 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe73 &amp; $-$0.086$^{**}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; $-$0.086$^{**}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; $-$0.092$^{***}$ \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; $-$0.081$^{*}$ \\ 
##   &amp; (0.046) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; $-$0.068$^{*}$ \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe78 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe79 &amp; $-$0.102$^{**}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe80 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe81 &amp; $-$0.047 \\ 
##   &amp; (0.046) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; 0.014 \\ 
##   &amp; (0.048) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; 0.005 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.151$^{***}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; $-$0.018 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe86 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe87 &amp; $-$0.087$^{**}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; $-$0.048 \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe89 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.131$^{***}$ \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; $-$0.023 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; $-$0.081$^{**}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; $-$0.013 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe94 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe95 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe96 &amp; $-$0.051 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe97 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe98 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe99 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe100 &amp; $-$0.153$^{***}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.065 \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; $-$0.112$^{***}$ \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; $-$0.110$^{**}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe104 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe105 &amp; $-$0.037 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; $-$0.076$^{**}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.086$^{*}$ \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.027 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.006 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; $-$0.141$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  party\_fe111 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.079$^{*}$ \\ 
##   &amp; (0.044) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; $-$0.034 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; $-$0.033 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe115 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe116 &amp; $-$0.057 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.061 \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.038 \\ 
##   &amp; (0.036) \\ 
##   &amp; \\ 
##  party\_fe119 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe120 &amp; $-$0.036 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; $-$0.098$^{*}$ \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; $-$0.068$^{*}$ \\ 
##   &amp; (0.039) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; $-$0.097$^{*}$ \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; 0.071$^{*}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.010 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; 0.052 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe127 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe128 &amp; 0.022 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; $-$0.097$^{*}$ \\ 
##   &amp; (0.054) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; $-$0.021 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe131 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe132 &amp; $-$0.033 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; 0.033 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.065 \\ 
##   &amp; (0.040) \\ 
##   &amp; \\ 
##  party\_fe135 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe136 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.001 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; $-$0.017 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; $-$0.023 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; $-$0.070$^{*}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe141 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.042 \\ 
##   &amp; (0.038) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; $-$0.018 \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe144 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe145 &amp; $-$0.062$^{*}$ \\ 
##   &amp; (0.037) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; $-$0.085 \\ 
##   &amp; (0.057) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; $-$0.079$^{*}$ \\ 
##   &amp; (0.047) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; $-$0.020 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; $-$0.044 \\ 
##   &amp; (0.045) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; $-$0.013 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; $-$0.039 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; $-$0.111$^{***}$ \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.030 \\ 
##   &amp; (0.035) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.022 \\ 
##   &amp; (0.041) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.120$^{***}$ \\ 
##   &amp; (0.043) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.023 \\ 
##   &amp; (0.033) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.031 \\ 
##   &amp; (0.034) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.027 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.003 \\ 
##   &amp; (0.032) \\ 
##   &amp; \\ 
##  party\_fe160 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe161 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe162 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe163 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe164 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe165 &amp; 0.079 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; $-$0.120$^{**}$ \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  party\_fe167 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe168 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe169 &amp; $-$0.080 \\ 
##   &amp; (0.059) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.121$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; 0.263$^{***}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; $-$0.009 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; $-$0.075 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.103$^{*}$ \\ 
##   &amp; (0.057) \\ 
##   &amp; \\ 
##  party\_fe175 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe176 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe177 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe178 &amp; $-$0.084 \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.004 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; $-$0.091$^{*}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; $-$0.053 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe182 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe183 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe184 &amp; $-$0.043 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; $-$0.136$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.249$^{***}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; $-$0.087$^{*}$ \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.036 \\ 
##   &amp; (0.053) \\ 
##   &amp; \\ 
##  party\_fe189 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe190 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe191 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe192 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe193 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe194 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe195 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe196 &amp; $-$0.120$^{**}$ \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; $-$0.132$^{**}$ \\ 
##   &amp; (0.052) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; $-$0.119 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe199 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe200 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe201 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe202 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.086$^{*}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe204 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe205 &amp; $-$0.076 \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; $-$0.093$^{*}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; $-$0.122$^{**}$ \\ 
##   &amp; (0.058) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; $-$0.093$^{*}$ \\ 
##   &amp; (0.049) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; $-$0.142$^{***}$ \\ 
##   &amp; (0.051) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; $-$0.108$^{**}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; $-$0.125$^{**}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe212 &amp;  \\ 
##   &amp;  \\ 
##   &amp; \\ 
##  party\_fe213 &amp; $-$0.097$^{*}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; $-$0.121$^{**}$ \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; $-$0.025 \\ 
##   &amp; (0.050) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.036 \\ 
##   &amp; (0.256) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,599 \\ 
## R$^{2}$ &amp; 0.728 \\ 
## Adjusted R$^{2}$ &amp; 0.705 \\ 
## Residual Std. Error &amp; 0.101 (df = 2402) \\ 
## F Statistic &amp; 32.725$^{***}$ (df = 196; 2402) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
</div>
<div id="table-s11" class="section level2">
<h2>Table S11</h2>
<div class="sourceCode" id="cb161"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb161-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb161-2" data-line-number="2"></a>
<a class="sourceLine" id="cb161-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe1.RData&quot;</span>)</a>
<a class="sourceLine" id="cb161-4" data-line-number="4"></a>
<a class="sourceLine" id="cb161-5" data-line-number="5"><span class="co"># increase maximum print to show full regression outputs </span></a>
<a class="sourceLine" id="cb161-6" data-line-number="6"></a>
<a class="sourceLine" id="cb161-7" data-line-number="7"><span class="kw">options</span>(<span class="dt">max.print=</span><span class="dv">1000000</span>)</a>
<a class="sourceLine" id="cb161-8" data-line-number="8"></a>
<a class="sourceLine" id="cb161-9" data-line-number="9"><span class="co"># capture all parties minus one from colnames to include party fixed effects in the models</span></a>
<a class="sourceLine" id="cb161-10" data-line-number="10"></a>
<a class="sourceLine" id="cb161-11" data-line-number="11">partyfx &lt;-<span class="st"> </span><span class="kw">paste</span>(<span class="kw">colnames</span>(dataframe1[<span class="dv">24</span><span class="op">:</span><span class="dv">237</span>]), <span class="dt">sep=</span><span class="st">&quot;&quot;</span>)</a>
<a class="sourceLine" id="cb161-12" data-line-number="12"></a>
<a class="sourceLine" id="cb161-13" data-line-number="13">model1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span><span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb161-14" data-line-number="14"></a>
<a class="sourceLine" id="cb161-15" data-line-number="15">model1 &lt;-<span class="st"> </span><span class="kw">lm</span>(model1, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb161-16" data-line-number="16"></a>
<a class="sourceLine" id="cb161-17" data-line-number="17">model2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb161-18" data-line-number="18"></a>
<a class="sourceLine" id="cb161-19" data-line-number="19">model2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model2, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb161-20" data-line-number="20"></a>
<a class="sourceLine" id="cb161-21" data-line-number="21">model3 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 +  year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb161-22" data-line-number="22"></a>
<a class="sourceLine" id="cb161-23" data-line-number="23">model3 &lt;-<span class="st"> </span><span class="kw">lm</span>(model3, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb161-24" data-line-number="24"></a>
<a class="sourceLine" id="cb161-25" data-line-number="25">model4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb161-26" data-line-number="26"></a>
<a class="sourceLine" id="cb161-27" data-line-number="27">model4 &lt;-<span class="st"> </span><span class="kw">lm</span>(model4, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb161-28" data-line-number="28"></a>
<a class="sourceLine" id="cb161-29" data-line-number="29"><span class="kw">bgtest</span>(model1)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model1
## LM test = 1307, df = 1, p-value &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb163"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb163-1" data-line-number="1"><span class="kw">bgtest</span>(model2)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model2
## LM test = 10.938, df = 1, p-value = 0.0009424</code></pre>
<div class="sourceCode" id="cb165"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb165-1" data-line-number="1"><span class="kw">bgtest</span>(model3)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model3
## LM test = 1293.7, df = 1, p-value &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb167"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb167-1" data-line-number="1"><span class="kw">bgtest</span>(model4)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model4
## LM test = 11.525, df = 1, p-value = 0.0006865</code></pre>
</div>
<div id="figure-s5" class="section level2">
<h2>Figure S5</h2>
<div class="sourceCode" id="cb169"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb169-1" data-line-number="1">test_m1 &lt;-<span class="st"> </span><span class="kw">acf</span>(<span class="kw">resid</span>(model1), <span class="dt">main =</span> <span class="st">&quot;Model 1&quot;</span>)</a></code></pre></div>
<p><img 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" width="768" /></p>
<div class="sourceCode" id="cb170"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb170-1" data-line-number="1">test_m2 &lt;-<span class="st"> </span><span class="kw">acf</span>(<span class="kw">resid</span>(model2), <span class="dt">main =</span> <span class="st">&quot;Model 2&quot;</span>)</a></code></pre></div>
<p><img 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" width="768" /></p>
<div class="sourceCode" id="cb171"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb171-1" data-line-number="1">test_m3 &lt;-<span class="st"> </span><span class="kw">acf</span>(<span class="kw">resid</span>(model3), <span class="dt">main =</span> <span class="st">&quot;Model 3&quot;</span>)</a></code></pre></div>
<p><img 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" width="768" /></p>
<div class="sourceCode" id="cb172"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb172-1" data-line-number="1">test_m4 &lt;-<span class="st"> </span><span class="kw">acf</span>(<span class="kw">resid</span>(model4), <span class="dt">main =</span> <span class="st">&quot;Model 4&quot;</span>)</a></code></pre></div>
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" width="768" /></p>
</div>
<div id="table-s12-and-s13" class="section level2">
<h2>Table S12 and S13</h2>
<div class="sourceCode" id="cb173"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb173-1" data-line-number="1"><span class="co"># Model 2 (add. lag) in Table S13 </span></a>
<a class="sourceLine" id="cb173-2" data-line-number="2"></a>
<a class="sourceLine" id="cb173-3" data-line-number="3">model_lag2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag1_rile + lag2_rile + lag_cmedian + lag_econ_glob + interaction + spruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb173-4" data-line-number="4"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb173-5" data-line-number="5"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb173-6" data-line-number="6"></a>
<a class="sourceLine" id="cb173-7" data-line-number="7">model_lag2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model_lag2, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb173-8" data-line-number="8"><span class="kw">summary</span>(model_lag2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_lag2, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92697 -0.09463 -0.00301  0.10812  2.04902 
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)   -1.6145494  0.8331199  -1.938 0.052743 .  
## lag1_rile      0.8162988  0.0193513  42.183  &lt; 2e-16 ***
## lag2_rile     -0.0872164  0.0192234  -4.537 5.98e-06 ***
## lag_cmedian    0.5326529  0.1584993   3.361 0.000790 ***
## lag_econ_glob  0.0345774  0.0113063   3.058 0.002250 ** 
## interaction   -0.0070872  0.0021210  -3.341 0.000846 ***
## spruled        0.0035943  0.0012073   2.977 0.002937 ** 
## year_fe2       0.0307710  0.0671933   0.458 0.647031    
## year_fe3       0.0247482  0.0664345   0.373 0.709538    
## year_fe4       0.0379374  0.0670271   0.566 0.571445    
## year_fe5       0.0775389  0.0677593   1.144 0.252599    
## year_fe6       0.1578899  0.0681426   2.317 0.020583 *  
## year_fe7       0.1466568  0.0697591   2.102 0.035625 *  
## year_fe8       0.1224857  0.0662512   1.849 0.064605 .  
## year_fe9      -0.0476149  0.0740998  -0.643 0.520557    
## year_fe10     -0.0138131  0.0847408  -0.163 0.870528    
## year_fe11      0.0273034  0.0750088   0.364 0.715887    
## year_fe12      0.0596343  0.0708982   0.841 0.400360    
## year_fe13      0.1362986  0.0665777   2.047 0.040743 *  
## year_fe14      0.1322124  0.0665863   1.986 0.047191 *  
## year_fe15     -0.1633021  0.0850811  -1.919 0.055053 .  
## year_fe16     -0.1531409  0.1101864  -1.390 0.164705    
## year_fe17     -0.1538958  0.1044856  -1.473 0.140908    
## year_fe18     -0.1134565  0.1054861  -1.076 0.282230    
## year_fe19     -0.0630313  0.0938367  -0.672 0.501830    
## year_fe20     -0.1581416  0.1350917  -1.171 0.241863    
## year_fe21     -0.2095140  0.1422728  -1.473 0.140981    
## year_fe22     -0.1988966  0.1400778  -1.420 0.155763    
## year_fe23     -0.3041993  0.1579325  -1.926 0.054203 .  
## year_fe24     -0.3024702  0.1597528  -1.893 0.058427 .  
## year_fe25     -0.2260374  0.1486926  -1.520 0.128598    
## year_fe26     -0.2805213  0.1552570  -1.807 0.070912 .  
## year_fe27     -0.1903705  0.1215037  -1.567 0.117293    
## year_fe28     -0.1603887  0.1266826  -1.266 0.205609    
## year_fe29     -0.4686071  0.2000733  -2.342 0.019251 *  
## year_fe30     -0.4336021  0.1810983  -2.394 0.016727 *  
## year_fe31     -0.3131292  0.1511424  -2.072 0.038393 *  
## year_fe32     -0.3784105  0.1622906  -2.332 0.019798 *  
## year_fe33     -0.3682646  0.1667785  -2.208 0.027329 *  
## year_fe34     -0.3471134  0.1624240  -2.137 0.032689 *  
## party_fe2     -0.0997200  0.1181652  -0.844 0.398805    
## party_fe3      0.0154370  0.1182858   0.131 0.896177    
## party_fe4      0.3353543  0.1196158   2.804 0.005093 ** 
## party_fe5      0.3213756  0.1190901   2.699 0.007011 ** 
## party_fe6      0.5151967  0.1220503   4.221 2.52e-05 ***
## party_fe7     -0.1626587  0.1433585  -1.135 0.256641    
## party_fe8     -0.0526514  0.1431740  -0.368 0.713096    
## party_fe9      0.1021283  0.1429348   0.715 0.474980    
## party_fe10     0.1529149  0.1429622   1.070 0.284896    
## party_fe11     0.3377580  0.1435901   2.352 0.018739 *  
## party_fe12     0.1828797  0.2055191   0.890 0.373637    
## party_fe13    -0.0870781  0.1344735  -0.648 0.517337    
## party_fe14    -0.2282563  0.1312675  -1.739 0.082184 .  
## party_fe15    -0.0438176  0.1169239  -0.375 0.707876    
## party_fe16    -0.1344519  0.1014248  -1.326 0.185085    
## party_fe17     0.0930547  0.1012404   0.919 0.358109    
## party_fe18     0.4902936  0.1097226   4.468 8.23e-06 ***
## party_fe19     0.1398229  0.1014739   1.378 0.168353    
## party_fe20     0.5652535  0.1051660   5.375 8.38e-08 ***
## party_fe21     0.4717975  0.1062765   4.439 9.42e-06 ***
## party_fe22     0.5038452  0.1044878   4.822 1.51e-06 ***
## party_fe23     0.6307228  0.1292414   4.880 1.13e-06 ***
## party_fe24     0.0066564  0.1178064   0.057 0.954946    
## party_fe25    -0.2203943  0.1180425  -1.867 0.062010 .  
## party_fe26     0.0156919  0.1178681   0.133 0.894100    
## party_fe27     0.1077696  0.3374926   0.319 0.749508    
## party_fe28     0.3592152  0.2075014   1.731 0.083551 .  
## party_fe29     0.2946390  0.1195095   2.465 0.013754 *  
## party_fe30     0.2928395  0.1193898   2.453 0.014244 *  
## party_fe31     0.1171957  0.1050959   1.115 0.264903    
## party_fe32     0.2008847  0.1052166   1.909 0.056346 .  
## party_fe33     0.2597729  0.1576446   1.648 0.099513 .  
## party_fe34     0.1188136  0.1051605   1.130 0.258657    
## party_fe35     0.0495040  0.1032492   0.479 0.631653    
## party_fe36     0.1104224  0.2446506   0.451 0.651779    
## party_fe37     0.4039855  0.1042425   3.875 0.000109 ***
## party_fe38     0.4019519  0.1181888   3.401 0.000682 ***
## party_fe39     0.2100485  0.2063612   1.018 0.308840    
## party_fe40     0.3354975  0.1864632   1.799 0.072098 .  
## party_fe41     0.1869704  0.2060473   0.907 0.364276    
## party_fe42     0.1761713  0.1492011   1.181 0.237810    
## party_fe43     0.8290763  0.2086880   3.973 7.31e-05 ***
## party_fe44     0.3492191  0.1034539   3.376 0.000748 ***
## party_fe45     0.1972477  0.1028247   1.918 0.055189 .  
## party_fe46     0.1672028  0.1108395   1.509 0.131552    
## party_fe47     0.0784199  0.1173025   0.669 0.503860    
## party_fe48     0.0753191  0.1287966   0.585 0.558741    
## party_fe49     0.1087374  0.1025100   1.061 0.288908    
## party_fe50     0.1901731  0.1026654   1.852 0.064094 .  
## party_fe51     0.4354962  0.1047766   4.156 3.34e-05 ***
## party_fe52    -0.1466728  0.2059994  -0.712 0.476529    
## party_fe53     0.2295842  0.1034706   2.219 0.026589 *  
## party_fe54     0.1576752  0.1849263   0.853 0.393943    
## party_fe55     0.5391985  0.1446463   3.728 0.000198 ***
## party_fe56     0.1778032  0.2064342   0.861 0.389153    
## party_fe57     0.4726175  0.1869947   2.527 0.011552 *  
## party_fe58     0.0876640  0.1875622   0.467 0.640265    
## party_fe59     0.0074976  0.1440529   0.052 0.958495    
## party_fe60     0.1291244  0.1400588   0.922 0.356655    
## party_fe61     0.0563842  0.1573416   0.358 0.720108    
## party_fe62    -0.2907154  0.1258962  -2.309 0.021017 *  
## party_fe63    -0.2160352  0.3356292  -0.644 0.519848    
## party_fe64     0.0181648  0.1066364   0.170 0.864754    
## party_fe65     0.2963319  0.1075044   2.756 0.005886 ** 
## party_fe66     0.1829746  0.1069257   1.711 0.087164 .  
## party_fe67    -0.0653182  0.1219990  -0.535 0.592422    
## party_fe68     0.1996084  0.1884315   1.059 0.289560    
## party_fe69    -0.1690062  0.1109313  -1.524 0.127757    
## party_fe70    -0.0115234  0.1106446  -0.104 0.917061    
## party_fe71     0.2691519  0.3424560   0.786 0.431975    
## party_fe72     0.1752793  0.3423386   0.512 0.608693    
## party_fe73     0.3692157  0.1184133   3.118 0.001842 ** 
## party_fe74     0.4066933  0.1293266   3.145 0.001682 ** 
## party_fe75     0.2956777  0.1121301   2.637 0.008419 ** 
## party_fe76     0.1296374  0.1467129   0.884 0.376991    
## party_fe77     0.6707377  0.1194865   5.614 2.20e-08 ***
## party_fe78     0.4371435  0.2475503   1.766 0.077540 .  
## party_fe79     0.1546575  0.1263425   1.224 0.221027    
## party_fe80     0.1530376  0.1850576   0.827 0.408333    
## party_fe81     0.1262179  0.1451220   0.870 0.384529    
## party_fe82    -0.0388188  0.1514463  -0.256 0.797725    
## party_fe83    -0.0690468  0.1222671  -0.565 0.572315    
## party_fe84     0.0642768  0.1593129   0.403 0.686643    
## party_fe85     0.1992893  0.1117974   1.783 0.074776 .  
## party_fe86     0.0298023  0.3361907   0.089 0.929370    
## party_fe87     0.6674633  0.1203919   5.544 3.27e-08 ***
## party_fe88     0.2680429  0.1236853   2.167 0.030320 *  
## party_fe89     0.6896135  0.1878316   3.671 0.000246 ***
## party_fe90     0.0642768  0.1593129   0.403 0.686643    
## party_fe91     0.3252442  0.1276249   2.548 0.010881 *  
## party_fe92     0.5448445  0.1286571   4.235 2.37e-05 ***
## party_fe93     0.4133295  0.1281225   3.226 0.001272 ** 
## party_fe94     0.1530376  0.1850576   0.827 0.408333    
## party_fe95     0.2583554  0.2468653   1.047 0.295413    
## party_fe96     0.3821799  0.1172750   3.259 0.001134 ** 
## party_fe97     0.6882854  0.1878208   3.665 0.000253 ***
## party_fe98     0.4732245  0.1862750   2.540 0.011132 *  
## party_fe99     0.3534521  0.3378797   1.046 0.295623    
## party_fe100    0.7266657  0.1614750   4.500 7.11e-06 ***
## party_fe101   -0.1289258  0.1877556  -0.687 0.492356    
## party_fe102    0.7532445  0.1305844   5.768 9.01e-09 ***
## party_fe103    0.7363462  0.1610421   4.572 5.06e-06 ***
## party_fe104    0.4732245  0.1862750   2.540 0.011132 *  
## party_fe105    0.5299199  0.1120807   4.728 2.39e-06 ***
## party_fe106    0.4221807  0.1189627   3.549 0.000394 ***
## party_fe107    0.2474286  0.1398554   1.769 0.076989 .  
## party_fe108   -0.0886069  0.1120423  -0.791 0.429117    
## party_fe109    0.0085781  0.1118340   0.077 0.938865    
## party_fe110    0.1301661  0.2132424   0.610 0.541644    
## party_fe111    0.2473153  0.2512139   0.984 0.324976    
## party_fe112    0.0457825  0.1413912   0.324 0.746117    
## party_fe113    0.2453873  0.1125897   2.179 0.029390 *  
## party_fe114    0.1832891  0.1122688   1.633 0.102683    
## party_fe115    0.0049595  0.2472795   0.020 0.984000    
## party_fe116    0.1272970  0.1167764   1.090 0.275779    
## party_fe117   -0.0339663  0.1370416  -0.248 0.804268    
## party_fe118   -0.0474706  0.1125590  -0.422 0.673252    
## party_fe119   -0.0670361  0.2101243  -0.319 0.749730    
## party_fe120    0.2474616  0.1137386   2.176 0.029672 *  
## party_fe121    0.3619176  0.1638835   2.208 0.027309 *  
## party_fe122    0.2357256  0.1258763   1.873 0.061231 .  
## party_fe123    0.3758972  0.1724446   2.180 0.029366 *  
## party_fe124   -0.0869584  0.1295422  -0.671 0.502108    
## party_fe125   -0.0006221  0.1088079  -0.006 0.995439    
## party_fe126   -0.0857415  0.1169836  -0.733 0.463667    
## party_fe127   -0.0641501  0.3396654  -0.189 0.850216    
## party_fe128   -0.0048737  0.1087307  -0.045 0.964252    
## party_fe129    0.3489926  0.1730350   2.017 0.043815 *  
## party_fe130    0.2177120  0.1094445   1.989 0.046784 *  
## party_fe131    0.5213060  0.2111968   2.468 0.013641 *  
## party_fe132    0.2109268  0.1093758   1.928 0.053913 .  
## party_fe133   -0.0072354  0.1107951  -0.065 0.947937    
## party_fe134   -0.1538220  0.1266968  -1.214 0.224828    
## party_fe135   -0.1021353  0.2075956  -0.492 0.622769    
## party_fe136   -0.0232057  0.3370929  -0.069 0.945122    
## party_fe137    0.0502925  0.1079019   0.466 0.641189    
## party_fe138    0.2529604  0.1084572   2.332 0.019762 *  
## party_fe139    0.4247131  0.1098506   3.866 0.000113 ***
## party_fe140    0.1321438  0.1187484   1.113 0.265901    
## party_fe141    0.0119487  0.1673841   0.071 0.943097    
## party_fe142    0.0523524  0.1185531   0.442 0.658821    
## party_fe143    0.2728852  0.1202979   2.268 0.023390 *  
## party_fe144    0.9238299  0.2109839   4.379 1.24e-05 ***
## party_fe145    0.2989337  0.1200735   2.490 0.012855 *  
## party_fe146    0.1695246  0.1828211   0.927 0.353877    
## party_fe147    0.1101947  0.1500743   0.734 0.462856    
## party_fe148    0.0506867  0.1022071   0.496 0.619994    
## party_fe149    0.1499734  0.1434450   1.046 0.295889    
## party_fe150    0.1318683  0.1024137   1.288 0.198005    
## party_fe151    0.4991793  0.1051983   4.745 2.20e-06 ***
## party_fe152    0.2131918  0.1277049   1.669 0.095163 .  
## party_fe153    0.0637536  0.1106749   0.576 0.564638    
## party_fe154   -0.1112807  0.1325619  -0.839 0.401292    
## party_fe155    0.0721362  0.1379752   0.523 0.601147    
## party_fe156    0.0583935  0.1028604   0.568 0.570293    
## party_fe157    0.3462749  0.1104270   3.136 0.001734 ** 
## party_fe158    0.3141154  0.1039316   3.022 0.002534 ** 
## party_fe159    0.1534501  0.1035764   1.482 0.138597    
## party_fe160    0.1536898  0.3354000   0.458 0.646829    
## party_fe161    0.1236105  0.3353815   0.369 0.712482    
## party_fe162    0.2278276  0.3354747   0.679 0.497126    
## party_fe163    0.2543384  0.3355115   0.758 0.448487    
## party_fe164   -0.0001701  0.2083120  -0.001 0.999349    
## party_fe165   -0.1925960  0.1865546  -1.032 0.301993    
## party_fe166    0.4267445  0.1874794   2.276 0.022918 *  
## party_fe167    0.4202793  0.2091608   2.009 0.044608 *  
## party_fe168    0.4062875  0.2090980   1.943 0.052124 .  
## party_fe169    0.1820214  0.1865371   0.976 0.329263    
## party_fe170    0.1557662  0.1837970   0.847 0.396804    
## party_fe171   -0.0081151  0.1576451  -0.051 0.958950    
## party_fe172    0.1843560  0.1578235   1.168 0.242873    
## party_fe173    0.4579214  0.1610812   2.843 0.004509 ** 
## party_fe174    0.3505120  0.1839685   1.905 0.056860 .  
## party_fe175    0.3980465  0.3357609   1.186 0.235932    
## party_fe176    0.5350110  0.3362194   1.591 0.111680    
## party_fe177    0.2168087  0.2085010   1.040 0.298514    
## party_fe178    0.2601283  0.1596734   1.629 0.103414    
## party_fe179    0.0006593  0.1593586   0.004 0.996699    
## party_fe180    0.4681279  0.1603552   2.919 0.003540 ** 
## party_fe181    0.4551125  0.1600720   2.843 0.004503 ** 
## party_fe182    0.6606545  0.2466401   2.679 0.007442 ** 
## party_fe183    0.2859707  0.1835018   1.558 0.119265    
## party_fe184    0.2603529  0.1575644   1.652 0.098589 .  
## party_fe185    0.0737707  0.1833127   0.402 0.687402    
## party_fe186    0.1881844  0.1575557   1.194 0.232437    
## party_fe187    0.4817304  0.1685587   2.858 0.004300 ** 
## party_fe188    0.5276390  0.1684237   3.133 0.001752 ** 
## party_fe189    0.2936736  0.3385045   0.868 0.385719    
## party_fe190    0.3323857  0.3385782   0.982 0.326339    
## party_fe191    0.2035467  0.3383767   0.602 0.547536    
## party_fe192    0.3707762  0.3386623   1.095 0.273700    
## party_fe193    0.3736790  0.3386691   1.103 0.269972    
## party_fe194    0.4102527  0.3387603   1.211 0.225996    
## party_fe195    0.2347285  0.3394451   0.692 0.489312    
## party_fe196    0.3783041  0.1644677   2.300 0.021522 *  
## party_fe197    0.3437456  0.1646814   2.087 0.036960 *  
## party_fe198    0.1483086  0.2498443   0.594 0.552831    
## party_fe199    0.3633422  0.2527269   1.438 0.150650    
## party_fe200    0.2665432  0.2523866   1.056 0.291030    
## party_fe201    0.1302953  0.3350811   0.389 0.697423    
## party_fe202    0.1710955  0.3351200   0.511 0.609712    
## party_fe203   -0.0056912  0.1572146  -0.036 0.971126    
## party_fe204    0.4835384  0.3358364   1.440 0.150050    
## party_fe205    0.5551026  0.1600241   3.469 0.000532 ***
## party_fe206    0.1631554  0.1586523   1.028 0.303871    
## party_fe207    0.4668493  0.1838904   2.539 0.011186 *  
## party_fe208    0.3357515  0.1581033   2.124 0.033801 *  
## party_fe209    0.1482902  0.1585980   0.935 0.349876    
## party_fe210    0.2073803  0.1587491   1.306 0.191559    
## party_fe211    0.3353950  0.1585930   2.115 0.034546 *  
## party_fe212    0.1257837  0.2451776   0.513 0.607976    
## party_fe213    0.2789079  0.1588705   1.756 0.079287 .  
## party_fe214    0.2176013  0.1587370   1.371 0.170553    
## party_fe215    0.4278201  0.1598486   2.676 0.007491 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3229 on 2464 degrees of freedom
## Multiple R-squared:  0.8892, Adjusted R-squared:  0.8778 
## F-statistic: 78.13 on 253 and 2464 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb175"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb175-1" data-line-number="1"><span class="kw">stargazer</span>(model_lag2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:14
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag1\_rile &amp; 0.816$^{***}$ \\ 
##   &amp; (0.019) \\ 
##   &amp; \\ 
##  lag2\_rile &amp; $-$0.087$^{***}$ \\ 
##   &amp; (0.019) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.533$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.035$^{***}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.007$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spruled &amp; 0.004$^{***}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.031 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.025 \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.038 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.078 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.158$^{**}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.147$^{**}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.122$^{*}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; $-$0.048 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; $-$0.014 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.027 \\ 
##   &amp; (0.075) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.060 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.136$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.132$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.163$^{*}$ \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; $-$0.153 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; $-$0.154 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; $-$0.113 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; $-$0.063 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; $-$0.158 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; $-$0.210 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; $-$0.199 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; $-$0.304$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; $-$0.302$^{*}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; $-$0.226 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; $-$0.281$^{*}$ \\ 
##   &amp; (0.155) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; $-$0.190 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; $-$0.160 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; $-$0.469$^{**}$ \\ 
##   &amp; (0.200) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; $-$0.434$^{**}$ \\ 
##   &amp; (0.181) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; $-$0.313$^{**}$ \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; $-$0.378$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; $-$0.368$^{**}$ \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; $-$0.347$^{**}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.100 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; 0.015 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.335$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.321$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.515$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.163 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.053 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.102 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.153 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.338$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.183 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.087 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.228$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.044 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.134 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.093 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.490$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.140 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.565$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.472$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.504$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.631$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.007 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.220$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; 0.016 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.108 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.359$^{*}$ \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.295$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.117 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.201$^{*}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.260$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.119 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.050 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.110 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.404$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.402$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.210 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.335$^{*}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.187 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.176 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.829$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.349$^{***}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.197$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.167 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.078 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.075 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.109 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.190$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.435$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.147 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.230$^{**}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.158 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.539$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.178 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.088 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.007 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.129 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.056 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.291$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.216 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.018 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.296$^{***}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.065 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.200 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.169 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.012 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.269 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.175 \\ 
##   &amp; (0.342) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.369$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.407$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.296$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.130 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.671$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.437$^{*}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.155 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.153 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.126 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.039 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.069 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.064 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.199$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.030 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.667$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.268$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.690$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.064 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.325$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.545$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.413$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.153 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.258 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.382$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.688$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.353 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.727$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.129 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.753$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.736$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.473$^{**}$ \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.530$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.422$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.247$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.089 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.009 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.130 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.247 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.046 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.183 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.005 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.127 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.034 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.047 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.067 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.247$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.362$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.236$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.376$^{**}$ \\ 
##   &amp; (0.172) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.087 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.001 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.086 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.064 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.005 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.349$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.218$^{**}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.521$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.211$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.007 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.154 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.102 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.023 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.050 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.253$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.425$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.132 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.012 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.052 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.273$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.924$^{***}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.299$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.170 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.110 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.051 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.150 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.132 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.499$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.213$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.064 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.111 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.072 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.058 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.346$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.314$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.153 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.154 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.124 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.228 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.254 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.0002 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.193 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.427$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.406$^{*}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.182 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.156 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.008 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.184 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.458$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.351$^{*}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.398 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.535 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.217 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.260 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; 0.001 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.468$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.455$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.661$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.286 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.260$^{*}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.074 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.188 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.482$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.528$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.294 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.332 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.204 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.371 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.374 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.410 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.235 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.378$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.344$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.148 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.363 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.267 \\ 
##   &amp; (0.252) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.130 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.171 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.006 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.484 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.555$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.163 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.467$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.336$^{**}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.148 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.207 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.335$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.126 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.279$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.218 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.428$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.615$^{*}$ \\ 
##   &amp; (0.833) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.889 \\ 
## Adjusted R$^{2}$ &amp; 0.878 \\ 
## Residual Std. Error &amp; 0.323 (df = 2464) \\ 
## F Statistic &amp; 78.135$^{***}$ (df = 253; 2464) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb177"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb177-1" data-line-number="1"><span class="co"># Model 4 (add. lag) in Table S13 </span></a>
<a class="sourceLine" id="cb177-2" data-line-number="2"></a>
<a class="sourceLine" id="cb177-3" data-line-number="3">model_lag4 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag1_rile + lag2_rile + lag_cmedian + lag_econ_glob + interaction + spsamegroup_ruled + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb177-4" data-line-number="4"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb177-5" data-line-number="5"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb177-6" data-line-number="6"></a>
<a class="sourceLine" id="cb177-7" data-line-number="7">model_lag4 &lt;-<span class="st"> </span><span class="kw">lm</span>(model_lag4, <span class="dt">data =</span> dataframe1)</a>
<a class="sourceLine" id="cb177-8" data-line-number="8"><span class="kw">summary</span>(model_lag4)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_lag4, data = dataframe1)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.89736 -0.09947  0.00000  0.10710  2.06855 
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)       -1.1769653  0.8160523  -1.442 0.149354    
## lag1_rile          0.8155491  0.0193828  42.076  &lt; 2e-16 ***
## lag2_rile         -0.0882240  0.0192256  -4.589 4.68e-06 ***
## lag_cmedian        0.4874081  0.1574186   3.096 0.001982 ** 
## lag_econ_glob      0.0312579  0.0112170   2.787 0.005366 ** 
## interaction       -0.0064295  0.0021052  -3.054 0.002282 ** 
## spsamegroup_ruled  0.0017015  0.0006718   2.533 0.011378 *  
## year_fe2           0.0428716  0.0671003   0.639 0.522936    
## year_fe3           0.0086877  0.0664877   0.131 0.896050    
## year_fe4           0.0462461  0.0668933   0.691 0.489416    
## year_fe5           0.1024711  0.0669665   1.530 0.126100    
## year_fe6           0.1109367  0.0669868   1.656 0.097829 .  
## year_fe7           0.0824544  0.0671965   1.227 0.219916    
## year_fe8           0.1133680  0.0663395   1.709 0.087594 .  
## year_fe9           0.0384843  0.0669514   0.575 0.565473    
## year_fe10          0.1399756  0.0647894   2.160 0.030833 *  
## year_fe11          0.1303147  0.0645556   2.019 0.043632 *  
## year_fe12          0.1380780  0.0643199   2.147 0.031911 *  
## year_fe13          0.1669315  0.0651745   2.561 0.010487 *  
## year_fe14          0.1325824  0.0666560   1.989 0.046806 *  
## year_fe15         -0.0261342  0.0676669  -0.386 0.699368    
## year_fe16          0.0818776  0.0691183   1.185 0.236290    
## year_fe17          0.0578743  0.0692582   0.836 0.403443    
## year_fe18          0.0896764  0.0713684   1.257 0.209044    
## year_fe19          0.0856457  0.0729008   1.175 0.240178    
## year_fe20          0.1548962  0.0715211   2.166 0.030426 *  
## year_fe21          0.1245257  0.0735089   1.694 0.090388 .  
## year_fe22          0.1174872  0.0769952   1.526 0.127162    
## year_fe23          0.0466291  0.0815371   0.572 0.567458    
## year_fe24          0.0517228  0.0823583   0.628 0.530048    
## year_fe25          0.0823230  0.0868162   0.948 0.343098    
## year_fe26          0.0571376  0.0849000   0.673 0.501011    
## year_fe27          0.0400461  0.0816441   0.490 0.623827    
## year_fe28          0.0906090  0.0815823   1.111 0.266829    
## year_fe29          0.0378057  0.0818140   0.462 0.644055    
## year_fe30          0.0152175  0.0788708   0.193 0.847020    
## year_fe31          0.0317339  0.0808676   0.392 0.694784    
## year_fe32          0.0009990  0.0825247   0.012 0.990343    
## year_fe33          0.0180197  0.0808972   0.223 0.823750    
## year_fe34          0.0304702  0.0798112   0.382 0.702659    
## party_fe2         -0.0915487  0.1182651  -0.774 0.438947    
## party_fe3         -0.0258319  0.1194607  -0.216 0.828820    
## party_fe4          0.3176494  0.1198653   2.650 0.008099 ** 
## party_fe5          0.2966804  0.1195331   2.482 0.013131 *  
## party_fe6          0.4924103  0.1224204   4.022 5.94e-05 ***
## party_fe7         -0.1473138  0.1433812  -1.027 0.304320    
## party_fe8         -0.0369370  0.1432013  -0.258 0.796477    
## party_fe9          0.1190762  0.1429696   0.833 0.404994    
## party_fe10         0.1700094  0.1430007   1.189 0.234605    
## party_fe11         0.3562540  0.1436459   2.480 0.013201 *  
## party_fe12         0.1790798  0.2056131   0.871 0.383863    
## party_fe13        -0.1333098  0.1342802  -0.993 0.320918    
## party_fe14        -0.2792470  0.1309725  -2.132 0.033097 *  
## party_fe15        -0.0505520  0.1169057  -0.432 0.665476    
## party_fe16        -0.1670805  0.1011083  -1.652 0.098562 .  
## party_fe17         0.0222082  0.1023649   0.217 0.828264    
## party_fe18         0.4547906  0.1093123   4.160 3.28e-05 ***
## party_fe19         0.1026520  0.1011936   1.014 0.310486    
## party_fe20         0.5183153  0.1050875   4.932 8.67e-07 ***
## party_fe21         0.4464028  0.1059222   4.214 2.59e-05 ***
## party_fe22         0.4520257  0.1045739   4.323 1.60e-05 ***
## party_fe23         0.6351128  0.1294614   4.906 9.91e-07 ***
## party_fe24         0.0061231  0.1178680   0.052 0.958573    
## party_fe25        -0.2156727  0.1181601  -1.825 0.068083 .  
## party_fe26        -0.0420580  0.1196490  -0.352 0.725235    
## party_fe27         0.1420589  0.3375526   0.421 0.673901    
## party_fe28         0.3781873  0.2076095   1.822 0.068633 .  
## party_fe29         0.2750244  0.1196533   2.299 0.021616 *  
## party_fe30         0.2544386  0.1200757   2.119 0.034192 *  
## party_fe31         0.0883432  0.1048529   0.843 0.399565    
## party_fe32         0.1722315  0.1049691   1.641 0.100970    
## party_fe33         0.2373711  0.1573811   1.508 0.131617    
## party_fe34         0.0590071  0.1065173   0.554 0.579652    
## party_fe35        -0.0165242  0.1046137  -0.158 0.874506    
## party_fe36         0.0968765  0.2446561   0.396 0.692161    
## party_fe37         0.3550335  0.1047545   3.389 0.000712 ***
## party_fe38         0.3800750  0.1183450   3.212 0.001337 ** 
## party_fe39         0.1731499  0.2060421   0.840 0.400787    
## party_fe40         0.3278501  0.1866717   1.756 0.079163 .  
## party_fe41         0.1810073  0.2061250   0.878 0.379952    
## party_fe42         0.1619121  0.1491009   1.086 0.277619    
## party_fe43         0.8383245  0.2089130   4.013 6.18e-05 ***
## party_fe44         0.3043988  0.1038006   2.933 0.003393 ** 
## party_fe45         0.1455231  0.1034951   1.406 0.159824    
## party_fe46         0.1637142  0.1108985   1.476 0.140004    
## party_fe47         0.0919416  0.1174617   0.783 0.433857    
## party_fe48         0.0475312  0.1290598   0.368 0.712690    
## party_fe49         0.0558862  0.1043315   0.536 0.592242    
## party_fe50         0.1607265  0.1031827   1.558 0.119436    
## party_fe51         0.4152140  0.1049971   3.955 7.88e-05 ***
## party_fe52        -0.1082143  0.2059220  -0.526 0.599275    
## party_fe53         0.1945799  0.1042463   1.867 0.062085 .  
## party_fe54         0.1140517  0.1850019   0.616 0.537629    
## party_fe55         0.5667227  0.1447632   3.915 9.29e-05 ***
## party_fe56         0.2171009  0.2063779   1.052 0.292922    
## party_fe57         0.4946009  0.1872276   2.642 0.008301 ** 
## party_fe58         0.0759602  0.1877312   0.405 0.685790    
## party_fe59        -0.0158952  0.1442996  -0.110 0.912296    
## party_fe60         0.1367310  0.1401142   0.976 0.329233    
## party_fe61         0.0536054  0.1574101   0.341 0.733474    
## party_fe62        -0.3267855  0.1262737  -2.588 0.009713 ** 
## party_fe63        -0.2109122  0.3358238  -0.628 0.530033    
## party_fe64        -0.0392193  0.1085350  -0.361 0.717868    
## party_fe65         0.2568155  0.1082954   2.371 0.017796 *  
## party_fe66         0.1400076  0.1079011   1.298 0.194562    
## party_fe67        -0.0563314  0.1221492  -0.461 0.644718    
## party_fe68         0.2418699  0.1890331   1.280 0.200838    
## party_fe69        -0.1644653  0.1110285  -1.481 0.138657    
## party_fe70        -0.0522268  0.1116275  -0.468 0.639921    
## party_fe71         0.2594339  0.3426293   0.757 0.449011    
## party_fe72         0.1649523  0.3425140   0.482 0.630138    
## party_fe73         0.3791005  0.1185381   3.198 0.001401 ** 
## party_fe74         0.4001523  0.1293642   3.093 0.002002 ** 
## party_fe75         0.2828286  0.1122326   2.520 0.011797 *  
## party_fe76         0.1351089  0.1469381   0.919 0.357926    
## party_fe77         0.6935134  0.1198800   5.785 8.17e-09 ***
## party_fe78         0.4670543  0.2479498   1.884 0.059728 .  
## party_fe79         0.1346075  0.1260283   1.068 0.285592    
## party_fe80         0.1583829  0.1852701   0.855 0.392703    
## party_fe81         0.1164559  0.1451679   0.802 0.422506    
## party_fe82        -0.0326404  0.1515050  -0.215 0.829442    
## party_fe83        -0.0838087  0.1220779  -0.687 0.492451    
## party_fe84         0.0756396  0.1595176   0.474 0.635415    
## party_fe85         0.1879934  0.1116966   1.683 0.092488 .  
## party_fe86         0.0582340  0.3363804   0.173 0.862572    
## party_fe87         0.6541544  0.1202606   5.439 5.87e-08 ***
## party_fe88         0.2447904  0.1237038   1.979 0.047945 *  
## party_fe89         0.6567558  0.1871402   3.509 0.000457 ***
## party_fe90         0.0790608  0.1595790   0.495 0.620338    
## party_fe91         0.3134694  0.1276068   2.457 0.014097 *  
## party_fe92         0.5340547  0.1286399   4.152 3.41e-05 ***
## party_fe93         0.4020914  0.1281051   3.139 0.001717 ** 
## party_fe94         0.1583829  0.1852701   0.855 0.392703    
## party_fe95         0.2871065  0.2472392   1.161 0.245653    
## party_fe96         0.3360435  0.1174351   2.862 0.004252 ** 
## party_fe97         0.6068033  0.1869946   3.245 0.001190 ** 
## party_fe98         0.4806467  0.1865326   2.577 0.010031 *  
## party_fe99         0.3487349  0.3380339   1.032 0.302334    
## party_fe100        0.6991347  0.1609189   4.345 1.45e-05 ***
## party_fe101       -0.1005923  0.1880769  -0.535 0.592804    
## party_fe102        0.7126097  0.1304997   5.461 5.22e-08 ***
## party_fe103        0.7534300  0.1613751   4.669 3.19e-06 ***
## party_fe104        0.4806467  0.1865326   2.577 0.010031 *  
## party_fe105        0.5216993  0.1120354   4.657 3.39e-06 ***
## party_fe106        0.4139579  0.1189117   3.481 0.000508 ***
## party_fe107        0.2653057  0.1401766   1.893 0.058521 .  
## party_fe108       -0.0724742  0.1121835  -0.646 0.518318    
## party_fe109       -0.0251259  0.1128815  -0.223 0.823876    
## party_fe110        0.1230514  0.2133264   0.577 0.564112    
## party_fe111        0.2362993  0.2512959   0.940 0.347144    
## party_fe112        0.0108869  0.1419824   0.077 0.938886    
## party_fe113        0.2183819  0.1132986   1.927 0.054033 .  
## party_fe114        0.1727401  0.1124638   1.536 0.124676    
## party_fe115        0.0216195  0.2474789   0.087 0.930393    
## party_fe116        0.1384701  0.1168682   1.185 0.236195    
## party_fe117        0.0031564  0.1370144   0.023 0.981622    
## party_fe118       -0.0752358  0.1133848  -0.664 0.507044    
## party_fe119       -0.0180211  0.2101068  -0.086 0.931655    
## party_fe120        0.2437135  0.1138397   2.141 0.032384 *  
## party_fe121        0.3963316  0.1640775   2.416 0.015785 *  
## party_fe122        0.2516969  0.1259804   1.998 0.045837 *  
## party_fe123        0.3649771  0.1725271   2.115 0.034489 *  
## party_fe124       -0.0521694  0.1297234  -0.402 0.687602    
## party_fe125        0.0168949  0.1088691   0.155 0.876688    
## party_fe126       -0.0558763  0.1170884  -0.477 0.633252    
## party_fe127       -0.0602402  0.3398249  -0.177 0.859312    
## party_fe128       -0.0377200  0.1099909  -0.343 0.731674    
## party_fe129        0.3389982  0.1731104   1.958 0.050310 .  
## party_fe130        0.1939286  0.1102051   1.760 0.078582 .  
## party_fe131        0.5063814  0.2112518   2.397 0.016602 *  
## party_fe132        0.2328288  0.1095111   2.126 0.033596 *  
## party_fe133       -0.0166467  0.1107550  -0.150 0.880538    
## party_fe134       -0.1535315  0.1267889  -1.211 0.226041    
## party_fe135       -0.1044843  0.2077009  -0.503 0.614973    
## party_fe136       -0.0247529  0.3372892  -0.073 0.941503    
## party_fe137       -0.0036441  0.1087799  -0.033 0.973279    
## party_fe138        0.2220642  0.1084870   2.047 0.040772 *  
## party_fe139        0.3887518  0.1099813   3.535 0.000416 ***
## party_fe140        0.1236406  0.1187477   1.041 0.297883    
## party_fe141        0.0093978  0.1674694   0.056 0.955254    
## party_fe142       -0.0120286  0.1203458  -0.100 0.920392    
## party_fe143        0.2806873  0.1205438   2.329 0.019966 *  
## party_fe144        0.9292049  0.2111536   4.401 1.13e-05 ***
## party_fe145        0.2572961  0.1206285   2.133 0.033026 *  
## party_fe146        0.1757598  0.1829981   0.960 0.336925    
## party_fe147        0.1444059  0.1504703   0.960 0.337302    
## party_fe148        0.0104305  0.1035994   0.101 0.919812    
## party_fe149        0.1344941  0.1435673   0.937 0.348952    
## party_fe150        0.1379541  0.1024770   1.346 0.178363    
## party_fe151        0.4766671  0.1056656   4.511 6.75e-06 ***
## party_fe152        0.2395569  0.1279637   1.872 0.061315 .  
## party_fe153        0.0627726  0.1107280   0.567 0.570828    
## party_fe154       -0.1266845  0.1328261  -0.954 0.340298    
## party_fe155        0.0898004  0.1380418   0.651 0.515410    
## party_fe156        0.0030224  0.1048266   0.029 0.977001    
## party_fe157        0.3221972  0.1106862   2.911 0.003636 ** 
## party_fe158        0.2828474  0.1044818   2.707 0.006833 ** 
## party_fe159        0.1426798  0.1036422   1.377 0.168743    
## party_fe160        0.1278723  0.3353673   0.381 0.703021    
## party_fe161        0.0975980  0.3353482   0.291 0.771049    
## party_fe162        0.2024911  0.3354438   0.604 0.546131    
## party_fe163        0.2291738  0.3354813   0.683 0.494596    
## party_fe164        0.0144410  0.2085241   0.069 0.944794    
## party_fe165       -0.1767866  0.1867802  -0.946 0.343989    
## party_fe166        0.4446107  0.1877538   2.368 0.017959 *  
## party_fe167        0.4376176  0.2094191   2.090 0.036749 *  
## party_fe168        0.4235350  0.2093546   2.023 0.043176 *  
## party_fe169        0.1980928  0.1867768   1.061 0.288982    
## party_fe170        0.1512359  0.1838686   0.823 0.410860    
## party_fe171       -0.0086769  0.1577441  -0.055 0.956138    
## party_fe172        0.1546633  0.1579340   0.979 0.327532    
## party_fe173        0.4580717  0.1611942   2.842 0.004524 ** 
## party_fe174        0.3260923  0.1839148   1.773 0.076342 .  
## party_fe175        0.4101777  0.3359694   1.221 0.222249    
## party_fe176        0.5480306  0.3364350   1.629 0.103455    
## party_fe177        0.2064086  0.2085092   0.990 0.322308    
## party_fe178        0.2160677  0.1596504   1.353 0.176058    
## party_fe179       -0.0127964  0.1592741  -0.080 0.935972    
## party_fe180        0.4359062  0.1601918   2.721 0.006551 ** 
## party_fe181        0.4426531  0.1599973   2.767 0.005706 ** 
## party_fe182        0.6483347  0.2466698   2.628 0.008633 ** 
## party_fe183        0.2841992  0.1836023   1.548 0.121773    
## party_fe184        0.2292049  0.1576227   1.454 0.146036    
## party_fe185        0.0713543  0.1834046   0.389 0.697270    
## party_fe186        0.1852005  0.1576276   1.175 0.240138    
## party_fe187        0.4763483  0.1686070   2.825 0.004763 ** 
## party_fe188        0.5220491  0.1684691   3.099 0.001965 ** 
## party_fe189        0.2634770  0.3383812   0.779 0.436267    
## party_fe190        0.3024403  0.3384562   0.894 0.371630    
## party_fe191        0.1727655  0.3382502   0.511 0.609563    
## party_fe192        0.3410797  0.3385418   1.007 0.313795    
## party_fe193        0.3440014  0.3385488   1.016 0.309679    
## party_fe194        0.3808123  0.3386414   1.125 0.260898    
## party_fe195        0.2508384  0.3396954   0.738 0.460329    
## party_fe196        0.3825831  0.1645617   2.325 0.020160 *  
## party_fe197        0.3630458  0.1649542   2.201 0.027836 *  
## party_fe198        0.1752102  0.2500786   0.701 0.483606    
## party_fe199        0.3317915  0.2531431   1.311 0.190086    
## party_fe200        0.2955689  0.2527835   1.169 0.242413    
## party_fe201        0.1474991  0.3352774   0.440 0.660025    
## party_fe202        0.1885640  0.3353183   0.562 0.573933    
## party_fe203       -0.0435930  0.1571955  -0.277 0.781560    
## party_fe204        0.5030335  0.3360517   1.497 0.134549    
## party_fe205        0.5374700  0.1599119   3.361 0.000788 ***
## party_fe206        0.1444717  0.1585415   0.911 0.362250    
## party_fe207        0.4551897  0.1838449   2.476 0.013355 *  
## party_fe208        0.3290900  0.1581242   2.081 0.037517 *  
## party_fe209        0.1552557  0.1588025   0.978 0.328336    
## party_fe210        0.2146633  0.1589604   1.350 0.177005    
## party_fe211        0.3190572  0.1586284   2.011 0.044397 *  
## party_fe212        0.1333241  0.2454351   0.543 0.587031    
## party_fe213        0.2863964  0.1590871   1.800 0.071944 .  
## party_fe214        0.2248560  0.1589461   1.415 0.157292    
## party_fe215        0.4364673  0.1600922   2.726 0.006449 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3231 on 2464 degrees of freedom
## Multiple R-squared:  0.8891, Adjusted R-squared:  0.8777 
## F-statistic: 78.05 on 253 and 2464 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb179"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb179-1" data-line-number="1"><span class="kw">stargazer</span>(model_lag4)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:15
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag1\_rile &amp; 0.816$^{***}$ \\ 
##   &amp; (0.019) \\ 
##   &amp; \\ 
##  lag2\_rile &amp; $-$0.088$^{***}$ \\ 
##   &amp; (0.019) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.487$^{***}$ \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.031$^{***}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spsamegroup\_ruled &amp; 0.002$^{**}$ \\ 
##   &amp; (0.001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.043 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.009 \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.046 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.102 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.111$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.082 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.113$^{*}$ \\ 
##   &amp; (0.066) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.038 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.140$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.130$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.138$^{**}$ \\ 
##   &amp; (0.064) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.167$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.133$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.026 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.082 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.058 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.090 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.086 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.155$^{**}$ \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.125$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.117 \\ 
##   &amp; (0.077) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.047 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.052 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.082 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.057 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.040 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.091 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.038 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.015 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.032 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.001 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.018 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.030 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.092 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.026 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.318$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.297$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.492$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.147 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.037 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.119 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.170 \\ 
##   &amp; (0.143) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.356$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.179 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.133 \\ 
##   &amp; (0.134) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.279$^{**}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.051 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.167$^{*}$ \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.022 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.455$^{***}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.103 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.518$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.446$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.452$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.635$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.006 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.216$^{*}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.042 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.142 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.378$^{*}$ \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.275$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.088 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.172 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.237 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.059 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; $-$0.017 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.097 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.380$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.173 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.328$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.181 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.149) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.838$^{***}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.304$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.146 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.164 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.092 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.048 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.056 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.161 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.415$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.108 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.195$^{*}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.114 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.567$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.217 \\ 
##   &amp; (0.206) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.076 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; $-$0.016 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.137 \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.054 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.327$^{***}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.211 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; $-$0.039 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.140 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.056 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.242 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.164 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.052 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.259 \\ 
##   &amp; (0.343) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.165 \\ 
##   &amp; (0.343) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.379$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.283$^{**}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.135 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.694$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.467$^{*}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.135 \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.158 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.116 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.033 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.084 \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.076 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.188$^{*}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.058 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.654$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.657$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.079 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.313$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.534$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.402$^{***}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.158 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.287 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.336$^{***}$ \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.607$^{***}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.481$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.349 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.699$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.101 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.713$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.753$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.481$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.522$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.414$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.265$^{*}$ \\ 
##   &amp; (0.140) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.072 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; $-$0.025 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.123 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.236 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.011 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.218$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.173 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.022 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.138 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; 0.003 \\ 
##   &amp; (0.137) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.075 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.018 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.396$^{**}$ \\ 
##   &amp; (0.164) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.365$^{**}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.052 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; 0.017 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.056 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.060 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.038 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.339$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.194$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.506$^{**}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.233$^{**}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.017 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.154 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.104 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.025 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; $-$0.004 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.222$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.389$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.124 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; 0.009 \\ 
##   &amp; (0.167) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; $-$0.012 \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.281$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.929$^{***}$ \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.257$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.176 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.144 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.010 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.134 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.138 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.477$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.240$^{*}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.063 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.127 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.090 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.003 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.322$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.283$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.143 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.128 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.098 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.202 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.229 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; 0.014 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.177 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.445$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.438$^{**}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.424$^{**}$ \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.198 \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.151 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.009 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.155 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.458$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.326$^{*}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.410 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.548 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.206 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.216 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.013 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.436$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.443$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.648$^{***}$ \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.284 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.229 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.071 \\ 
##   &amp; (0.183) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.185 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.476$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.522$^{***}$ \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.263 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.302 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.173 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.341 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.344 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.381 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.251 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.383$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.363$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.175 \\ 
##   &amp; (0.250) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.332 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.296 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.147 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.189 \\ 
##   &amp; (0.335) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.044 \\ 
##   &amp; (0.157) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.503 \\ 
##   &amp; (0.336) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.537$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.144 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.455$^{**}$ \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.329$^{**}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.155 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.215 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.319$^{**}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.133 \\ 
##   &amp; (0.245) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.286$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.225 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.436$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.177 \\ 
##   &amp; (0.816) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.889 \\ 
## Adjusted R$^{2}$ &amp; 0.878 \\ 
## Residual Std. Error &amp; 0.323 (df = 2464) \\ 
## F Statistic &amp; 78.048$^{***}$ (df = 253; 2464) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb181"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb181-1" data-line-number="1"><span class="co"># Table S12 </span></a>
<a class="sourceLine" id="cb181-2" data-line-number="2"></a>
<a class="sourceLine" id="cb181-3" data-line-number="3"><span class="kw">bgtest</span>(model_lag2)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model_lag2
## LM test = 6.4555, df = 1, p-value = 0.01106</code></pre>
<div class="sourceCode" id="cb183"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb183-1" data-line-number="1"><span class="kw">bgtest</span>(model_lag4)</a></code></pre></div>
<pre><code>## 
##  Breusch-Godfrey test for serial correlation of order up to 1
## 
## data:  model_lag4
## LM test = 6.0906, df = 1, p-value = 0.01359</code></pre>
</div>
<div id="table-s14" class="section level2">
<h2>Table S14</h2>
<div class="sourceCode" id="cb185"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb185-1" data-line-number="1"><span class="co"># load dataset </span></a>
<a class="sourceLine" id="cb185-2" data-line-number="2"></a>
<a class="sourceLine" id="cb185-3" data-line-number="3"><span class="kw">load</span>(<span class="st">&quot;./dataframe_opp.RData&quot;</span>)</a>
<a class="sourceLine" id="cb185-4" data-line-number="4"></a>
<a class="sourceLine" id="cb185-5" data-line-number="5"></a>
<a class="sourceLine" id="cb185-6" data-line-number="6"><span class="co"># Model OP1 in Table S14 </span></a>
<a class="sourceLine" id="cb185-7" data-line-number="7"></a>
<a class="sourceLine" id="cb185-8" data-line-number="8">model_op1 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spnonincumbent + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb185-9" data-line-number="9"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb185-10" data-line-number="10"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb185-11" data-line-number="11"></a>
<a class="sourceLine" id="cb185-12" data-line-number="12">model_op1 &lt;-<span class="st"> </span><span class="kw">lm</span>(model_op1, <span class="dt">data =</span> dataframe_opp)</a>
<a class="sourceLine" id="cb185-13" data-line-number="13"><span class="kw">summary</span>(model_op1)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_op1, data = dataframe_opp)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.92677 -0.09723 -0.00251  0.10736  2.08666 
## 
## Coefficients:
##                  Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)    -0.8778952  0.8323259  -1.055 0.291643    
## lag_rile        0.7508498  0.0129075  58.171  &lt; 2e-16 ***
## lag_cmedian     0.4157090  0.1595115   2.606 0.009212 ** 
## lag_econ_glob   0.0260077  0.0113676   2.288 0.022229 *  
## interaction    -0.0055205  0.0021314  -2.590 0.009653 ** 
## spnonincumbent  0.0001773  0.0001793   0.989 0.322865    
## year_fe2        0.0134342  0.0729883   0.184 0.853982    
## year_fe3       -0.0102825  0.0724940  -0.142 0.887219    
## year_fe4        0.0238046  0.0737366   0.323 0.746849    
## year_fe5        0.1016034  0.0678335   1.498 0.134304    
## year_fe6        0.1099485  0.0682690   1.611 0.107413    
## year_fe7        0.0626066  0.0727475   0.861 0.389541    
## year_fe8        0.0837989  0.0741181   1.131 0.258328    
## year_fe9        0.0320666  0.0684486   0.468 0.639484    
## year_fe10       0.1365702  0.0652415   2.093 0.036424 *  
## year_fe11       0.1425402  0.0649128   2.196 0.028194 *  
## year_fe12       0.1691494  0.0694315   2.436 0.014913 *  
## year_fe13       0.1916247  0.0677707   2.828 0.004728 ** 
## year_fe14       0.1586189  0.0696273   2.278 0.022805 *  
## year_fe15      -0.0077131  0.0681370  -0.113 0.909882    
## year_fe16       0.1017120  0.0704428   1.444 0.148896    
## year_fe17       0.0618507  0.0705437   0.877 0.380696    
## year_fe18       0.1396882  0.0743823   1.878 0.060502 .  
## year_fe19       0.1282102  0.0732229   1.751 0.080078 .  
## year_fe20       0.2127416  0.0757059   2.810 0.004992 ** 
## year_fe21       0.1793870  0.0788360   2.275 0.022965 *  
## year_fe22       0.1606847  0.0782221   2.054 0.040061 *  
## year_fe23       0.1196898  0.0825820   1.449 0.147368    
## year_fe24       0.1325034  0.0861825   1.537 0.124306    
## year_fe25       0.1369952  0.0845152   1.621 0.105156    
## year_fe26       0.1185624  0.0835011   1.420 0.155766    
## year_fe27       0.1084927  0.0866179   1.253 0.210491    
## year_fe28       0.1610820  0.0882588   1.825 0.068105 .  
## year_fe29       0.1403007  0.1043674   1.344 0.178976    
## year_fe30       0.0724066  0.0817312   0.886 0.375752    
## year_fe31       0.1072942  0.0909475   1.180 0.238219    
## year_fe32       0.0836513  0.0939370   0.891 0.373282    
## year_fe33       0.0919520  0.0825541   1.114 0.265456    
## year_fe34       0.1396095  0.0989190   1.411 0.158267    
## party_fe2      -0.0881749  0.1188172  -0.742 0.458094    
## party_fe3      -0.0088562  0.1188452  -0.075 0.940604    
## party_fe4       0.3034668  0.1201030   2.527 0.011575 *  
## party_fe5       0.2929866  0.1196144   2.449 0.014378 *  
## party_fe6       0.4579851  0.1221159   3.750 0.000181 ***
## party_fe7      -0.1320406  0.1440854  -0.916 0.359544    
## party_fe8      -0.0211853  0.1438915  -0.147 0.882962    
## party_fe9       0.1114936  0.1437300   0.776 0.437992    
## party_fe10      0.1657976  0.1437549   1.153 0.248884    
## party_fe11      0.3364079  0.1443680   2.330 0.019875 *  
## party_fe12      0.1548772  0.2066234   0.750 0.453590    
## party_fe13     -0.1201630  0.1348599  -0.891 0.373005    
## party_fe14     -0.2531425  0.1314987  -1.925 0.054337 .  
## party_fe15     -0.0601319  0.1173961  -0.512 0.608547    
## party_fe16     -0.1515210  0.1015897  -1.491 0.135959    
## party_fe17      0.0598525  0.1014084   0.590 0.555102    
## party_fe18      0.4194026  0.1095203   3.829 0.000132 ***
## party_fe19      0.1011129  0.1016167   0.995 0.319814    
## party_fe20      0.4883054  0.1048025   4.659 3.34e-06 ***
## party_fe21      0.4011477  0.1060691   3.782 0.000159 ***
## party_fe22      0.4299129  0.1041828   4.127 3.81e-05 ***
## party_fe23      0.5738395  0.1295565   4.429 9.87e-06 ***
## party_fe24      0.0029026  0.1184630   0.025 0.980454    
## party_fe25     -0.2167312  0.1186854  -1.826 0.067956 .  
## party_fe26     -0.0044541  0.1184942  -0.038 0.970018    
## party_fe27      0.1226546  0.3392995   0.361 0.717761    
## party_fe28      0.3323243  0.2085345   1.594 0.111150    
## party_fe29      0.2522545  0.1199260   2.103 0.035530 *  
## party_fe30      0.2524649  0.1198330   2.107 0.035235 *  
## party_fe31      0.0820151  0.1053573   0.778 0.436380    
## party_fe32      0.1654512  0.1054758   1.569 0.116865    
## party_fe33      0.2198374  0.1582029   1.390 0.164778    
## party_fe34      0.1085843  0.1056360   1.028 0.304093    
## party_fe35      0.0216419  0.1035952   0.209 0.834537    
## party_fe36      0.0734763  0.2459403   0.299 0.765151    
## party_fe37      0.3550332  0.1044313   3.400 0.000685 ***
## party_fe38      0.3631418  0.1186392   3.061 0.002231 ** 
## party_fe39      0.1592456  0.2071740   0.769 0.442171    
## party_fe40      0.3150992  0.1873625   1.682 0.092742 .  
## party_fe41      0.1496336  0.2069533   0.723 0.469730    
## party_fe42      0.1591061  0.1498417   1.062 0.288418    
## party_fe43      0.7621246  0.2095107   3.638 0.000281 ***
## party_fe44      0.3107369  0.1037581   2.995 0.002773 ** 
## party_fe45      0.1621105  0.1031550   1.572 0.116189    
## party_fe46      0.1600042  0.1114688   1.435 0.151295    
## party_fe47      0.0781647  0.1179755   0.663 0.507681    
## party_fe48      0.0809473  0.1294745   0.625 0.531898    
## party_fe49      0.1082790  0.1030915   1.050 0.293674    
## party_fe50      0.1831768  0.1032477   1.774 0.076162 .  
## party_fe51      0.3989130  0.1051285   3.795 0.000151 ***
## party_fe52     -0.1773281  0.2071392  -0.856 0.392036    
## party_fe53      0.2140997  0.1040255   2.058 0.039681 *  
## party_fe54      0.1277529  0.1858427   0.687 0.491880    
## party_fe55      0.5182687  0.1452394   3.568 0.000366 ***
## party_fe56      0.1504026  0.2075980   0.724 0.468834    
## party_fe57      0.4318480  0.1882375   2.294 0.021865 *  
## party_fe58      0.0909036  0.1886392   0.482 0.629926    
## party_fe59      0.0106857  0.1448618   0.074 0.941204    
## party_fe60      0.1434813  0.1408953   1.018 0.308610    
## party_fe61      0.0486206  0.1581951   0.307 0.758606    
## party_fe62     -0.2775490  0.1264783  -2.194 0.028297 *  
## party_fe63     -0.2094192  0.3375319  -0.620 0.535024    
## party_fe64      0.0156660  0.1072254   0.146 0.883852    
## party_fe65      0.2709072  0.1080268   2.508 0.012213 *  
## party_fe66      0.1667927  0.1075012   1.552 0.120900    
## party_fe67     -0.0764583  0.1232237  -0.620 0.534997    
## party_fe68      0.1794185  0.1899210   0.945 0.344904    
## party_fe69     -0.1733081  0.1119629  -1.548 0.121773    
## party_fe70     -0.0206505  0.1116662  -0.185 0.853299    
## party_fe71      0.2436739  0.3443889   0.708 0.479289    
## party_fe72      0.1573437  0.3442890   0.457 0.647704    
## party_fe73      0.3279010  0.1190885   2.753 0.005941 ** 
## party_fe74      0.3593802  0.1300158   2.764 0.005750 ** 
## party_fe75      0.2542130  0.1129714   2.250 0.024521 *  
## party_fe76      0.0891742  0.1480212   0.602 0.546935    
## party_fe77      0.6065631  0.1199406   5.057 4.57e-07 ***
## party_fe78      0.4028399  0.2488551   1.619 0.105624    
## party_fe79      0.0936762  0.1270479   0.737 0.460992    
## party_fe80      0.1304898  0.1860758   0.701 0.483200    
## party_fe81      0.0962392  0.1461952   0.658 0.510412    
## party_fe82     -0.0387560  0.1524703  -0.254 0.799372    
## party_fe83     -0.0927462  0.1228505  -0.755 0.450350    
## party_fe84      0.0450506  0.1601883   0.281 0.778553    
## party_fe85      0.1562595  0.1124517   1.390 0.164785    
## party_fe86      0.0378734  0.3381319   0.112 0.910826    
## party_fe87      0.5810712  0.1206325   4.817 1.55e-06 ***
## party_fe88      0.2355939  0.1245786   1.891 0.058725 .  
## party_fe89      0.5638098  0.1882035   2.996 0.002765 ** 
## party_fe90      0.0450506  0.1601883   0.281 0.778553    
## party_fe91      0.2818580  0.1284171   2.195 0.028266 *  
## party_fe92      0.4945828  0.1293653   3.823 0.000135 ***
## party_fe93      0.3640100  0.1288498   2.825 0.004765 ** 
## party_fe94      0.1304898  0.1860758   0.701 0.483200    
## party_fe95      0.2384169  0.2482440   0.960 0.336941    
## party_fe96      0.3226963  0.1179882   2.735 0.006283 ** 
## party_fe97      0.5625885  0.1881942   2.989 0.002823 ** 
## party_fe98      0.4249506  0.1871634   2.270 0.023265 *  
## party_fe99      0.2876993  0.3399629   0.846 0.397486    
## party_fe100     0.6372082  0.1622389   3.928 8.82e-05 ***
## party_fe101    -0.2223793  0.1876152  -1.185 0.236015    
## party_fe102     0.6689112  0.1306678   5.119 3.31e-07 ***
## party_fe103     0.7108501  0.1619005   4.391 1.18e-05 ***
## party_fe104     0.4249506  0.1871634   2.270 0.023265 *  
## party_fe105     0.4728682  0.1125654   4.201 2.75e-05 ***
## party_fe106     0.3551976  0.1192182   2.979 0.002916 ** 
## party_fe107     0.2434677  0.1406581   1.731 0.083591 .  
## party_fe108    -0.0732326  0.1126495  -0.650 0.515693    
## party_fe109     0.0083803  0.1124624   0.075 0.940605    
## party_fe110     0.0866313  0.2143456   0.404 0.686125    
## party_fe111     0.2149650  0.2526218   0.851 0.394887    
## party_fe112     0.0321363  0.1421981   0.226 0.821223    
## party_fe113     0.2245465  0.1130963   1.985 0.047206 *  
## party_fe114     0.1674966  0.1128205   1.485 0.137770    
## party_fe115     0.0100053  0.2487086   0.040 0.967914    
## party_fe116     0.1231172  0.1174930   1.048 0.294802    
## party_fe117    -0.0328361  0.1376082  -0.239 0.811420    
## party_fe118    -0.0370690  0.1132034  -0.327 0.743352    
## party_fe119    -0.0430567  0.2112704  -0.204 0.838527    
## party_fe120     0.2160820  0.1141261   1.893 0.058427 .  
## party_fe121     0.3548204  0.1649338   2.151 0.031550 *  
## party_fe122     0.2073298  0.1267236   1.636 0.101951    
## party_fe123     0.3171939  0.1745054   1.818 0.069235 .  
## party_fe124    -0.0671940  0.1302158  -0.516 0.605887    
## party_fe125    -0.0126657  0.1096457  -0.116 0.908047    
## party_fe126    -0.0723455  0.1176363  -0.615 0.538616    
## party_fe127    -0.2299054  0.3398543  -0.676 0.498798    
## party_fe128    -0.0061378  0.1096118  -0.056 0.955350    
## party_fe129     0.2897920  0.1750466   1.656 0.097948 .  
## party_fe130     0.2018516  0.1102359   1.831 0.067208 .  
## party_fe131     0.4399759  0.2132114   2.064 0.039163 *  
## party_fe132     0.1882560  0.1101080   1.710 0.087440 .  
## party_fe133    -0.0200976  0.1113242  -0.181 0.856750    
## party_fe134    -0.1540376  0.1273552  -1.210 0.226583    
## party_fe135    -0.1030411  0.2087003  -0.494 0.621543    
## party_fe136    -0.0488850  0.3389094  -0.144 0.885321    
## party_fe137     0.0281529  0.1083700   0.260 0.795051    
## party_fe138     0.2133175  0.1088235   1.960 0.050083 .  
## party_fe139     0.3723949  0.1100672   3.383 0.000727 ***
## party_fe140     0.1025453  0.1192994   0.860 0.390114    
## party_fe141    -0.0031143  0.1682388  -0.019 0.985232    
## party_fe142     0.0290722  0.1191422   0.244 0.807242    
## party_fe143     0.2173077  0.1205329   1.803 0.071527 .  
## party_fe144     0.8850618  0.2124258   4.166 3.20e-05 ***
## party_fe145     0.2506030  0.1204254   2.081 0.037539 *  
## party_fe146     0.1400591  0.1837884   0.762 0.446093    
## party_fe147     0.1095902  0.1509172   0.726 0.467809    
## party_fe148     0.0532546  0.1027919   0.518 0.604448    
## party_fe149     0.1354483  0.1442656   0.939 0.347884    
## party_fe150     0.1228564  0.1029733   1.193 0.232949    
## party_fe151     0.4611912  0.1054478   4.374 1.27e-05 ***
## party_fe152     0.2023048  0.1283529   1.576 0.115117    
## party_fe153     0.0516007  0.1113426   0.463 0.643089    
## party_fe154    -0.0909894  0.1333381  -0.682 0.495052    
## party_fe155     0.0864925  0.1387299   0.623 0.533040    
## party_fe156     0.0514698  0.1034376   0.498 0.618815    
## party_fe157     0.3082893  0.1108878   2.780 0.005474 ** 
## party_fe158     0.2885439  0.1044154   2.763 0.005762 ** 
## party_fe159     0.1242888  0.1040195   1.195 0.232257    
## party_fe160     0.1080662  0.3370928   0.321 0.748554    
## party_fe161     0.0804037  0.3370775   0.239 0.811488    
## party_fe162     0.1762473  0.3371568   0.523 0.601198    
## party_fe163     0.2006280  0.3371886   0.595 0.551896    
## party_fe164    -0.0385042  0.2133396  -0.180 0.856788    
## party_fe165    -0.2629390  0.1917634  -1.371 0.170449    
## party_fe166     0.3520748  0.1924730   1.829 0.067488 .  
## party_fe167     0.3481633  0.2139029   1.628 0.103723    
## party_fe168     0.3352957  0.2138540   1.568 0.117039    
## party_fe169     0.1318196  0.1917953   0.687 0.491963    
## party_fe170     0.1173599  0.1846719   0.636 0.525158    
## party_fe171    -0.0318407  0.1584642  -0.201 0.840767    
## party_fe172     0.1563913  0.1586272   0.986 0.324277    
## party_fe173     0.3807530  0.1613550   2.360 0.018366 *  
## party_fe174     0.3085740  0.1848265   1.670 0.095139 .  
## party_fe175     0.3558848  0.3377481   1.054 0.292124    
## party_fe176     0.4818446  0.3381433   1.425 0.154292    
## party_fe177     0.1683024  0.2096178   0.803 0.422109    
## party_fe178     0.2033815  0.1603161   1.269 0.204694    
## party_fe179    -0.0618108  0.1599659  -0.386 0.699234    
## party_fe180     0.4081260  0.1609625   2.536 0.011289 *  
## party_fe181     0.4013493  0.1607270   2.497 0.012587 *  
## party_fe182     0.5900630  0.2477058   2.382 0.017289 *  
## party_fe183     0.2564883  0.1844472   1.391 0.164479    
## party_fe184     0.2295243  0.1583334   1.450 0.147290    
## party_fe185     0.0522771  0.1842757   0.284 0.776672    
## party_fe186     0.1389537  0.1582066   0.878 0.379864    
## party_fe187     0.4472679  0.1694317   2.640 0.008347 ** 
## party_fe188     0.5012037  0.1693294   2.960 0.003106 ** 
## party_fe189     0.2272062  0.3400724   0.668 0.504125    
## party_fe190     0.2628079  0.3401360   0.773 0.439800    
## party_fe191     0.1443208  0.3399631   0.425 0.671224    
## party_fe192     0.2981138  0.3402089   0.876 0.380970    
## party_fe193     0.3007834  0.3402148   0.884 0.376729    
## party_fe194     0.3344185  0.3402941   0.983 0.325835    
## party_fe195     0.2156441  0.3413843   0.632 0.527658    
## party_fe196     0.3754625  0.1655756   2.268 0.023439 *  
## party_fe197     0.3299207  0.1657471   1.991 0.046645 *  
## party_fe198     0.0959677  0.2509498   0.382 0.702184    
## party_fe199     0.3331784  0.2540973   1.311 0.189904    
## party_fe200     0.2441569  0.2537937   0.962 0.336129    
## party_fe201     0.1187215  0.3370494   0.352 0.724690    
## party_fe202     0.1562436  0.3370813   0.464 0.643033    
## party_fe203    -0.0618175  0.1578252  -0.392 0.695326    
## party_fe204     0.4435826  0.3376972   1.314 0.189119    
## party_fe205     0.4810556  0.1604166   2.999 0.002738 ** 
## party_fe206     0.0791016  0.1588941   0.498 0.618651    
## party_fe207     0.4069676  0.1845476   2.205 0.027531 *  
## party_fe208     0.2681110  0.1585828   1.691 0.091026 .  
## party_fe209     0.1202952  0.1594174   0.755 0.450565    
## party_fe210     0.1761621  0.1595517   1.104 0.269655    
## party_fe211     0.3092909  0.1594208   1.940 0.052482 .  
## party_fe212     0.0893671  0.2466326   0.362 0.717122    
## party_fe213     0.2479322  0.1596749   1.553 0.120616    
## party_fe214     0.1810505  0.1595047   1.135 0.256453    
## party_fe215     0.3861727  0.1605806   2.405 0.016252 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.44 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb187"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb187-1" data-line-number="1"><span class="kw">stargazer</span>(model_op1)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:19
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.751$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.416$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.026$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spnonincumbent &amp; 0.0002 \\ 
##   &amp; (0.0002) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.013 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; $-$0.010 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.024 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.102 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.110 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.063 \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.084 \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.032 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.169$^{**}$ \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.192$^{***}$ \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.159$^{**}$ \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.008 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.102 \\ 
##   &amp; (0.070) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.062 \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.140$^{*}$ \\ 
##   &amp; (0.074) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.128$^{*}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.213$^{***}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.179$^{**}$ \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.161$^{**}$ \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.120 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.133 \\ 
##   &amp; (0.086) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.137 \\ 
##   &amp; (0.085) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.119 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.108 \\ 
##   &amp; (0.087) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.161$^{*}$ \\ 
##   &amp; (0.088) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.140 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.072 \\ 
##   &amp; (0.082) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.107 \\ 
##   &amp; (0.091) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.084 \\ 
##   &amp; (0.094) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.092 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.140 \\ 
##   &amp; (0.099) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.009 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.303$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.293$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.458$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.132 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.021 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.111 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.166 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.336$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.155 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.120 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.253$^{*}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.060 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.152 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.060 \\ 
##   &amp; (0.101) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.419$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.101 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.488$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.401$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.430$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.574$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.003 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.217$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.004 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.123 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.332 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.252$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.082 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.165 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.220 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.109 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.022 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.073 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.363$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.159 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.315$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.150 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.159 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.762$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.311$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.162 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.160 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.078 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.081 \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.108 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.183$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.399$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.177 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.214$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.128 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.518$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.150 \\ 
##   &amp; (0.208) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.432$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.091 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.011 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.143 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.049 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.278$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.209 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.016 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.271$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.167 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.076 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.179 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.173 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.021 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.244 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.157 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.328$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.359$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.254$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.089 \\ 
##   &amp; (0.148) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.607$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.403 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.094 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.130 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.096 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.039 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.093 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.045 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.156 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.038 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.581$^{***}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.236$^{*}$ \\ 
##   &amp; (0.125) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.564$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.045 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.282$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.495$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.364$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.130 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.238 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.323$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.563$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.425$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.288 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.637$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.222 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.669$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.711$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.425$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.473$^{***}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.355$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.243$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.008 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.087 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.215 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.032 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.225$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.167 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.010 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.123 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.033 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.037 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.043 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.216$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.355$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.207 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.317$^{*}$ \\ 
##   &amp; (0.175) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.067 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.013 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.072 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.230 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.006 \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.290$^{*}$ \\ 
##   &amp; (0.175) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.202$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.440$^{**}$ \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.188$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.020 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.154 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.103 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.049 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.028 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.213$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.372$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.103 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.003 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.029 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.217$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.885$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.251$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.140 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.110 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.053 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.135 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.123 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.461$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.202 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.052 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.091 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.086 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.051 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.308$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.289$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.124 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.108 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.080 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.176 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.201 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.039 \\ 
##   &amp; (0.213) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.263 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.352$^{*}$ \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.348 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.335 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.132 \\ 
##   &amp; (0.192) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.117 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.032 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.156 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.381$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.356 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.482 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.168 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.203 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.062 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.408$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.401$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.590$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.256 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.230 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.052 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.139 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.447$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.501$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.227 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.263 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.144 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.298 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.301 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.334 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.216 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.375$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.330$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.096 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.333 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.244 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.119 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.156 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.062 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.444 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.481$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.079 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.407$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.268$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.120 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.176 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.089 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.248 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.181 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.386$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$0.878 \\ 
##   &amp; (0.832) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.437$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<div class="sourceCode" id="cb189"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb189-1" data-line-number="1"><span class="co"># Model OP2 in Table S14 </span></a>
<a class="sourceLine" id="cb189-2" data-line-number="2"></a>
<a class="sourceLine" id="cb189-3" data-line-number="3">model_op2 &lt;-<span class="st"> </span><span class="kw">as.formula</span>(<span class="kw">paste</span>(<span class="st">&quot;rile ~ lag_rile + lag_cmedian + lag_econ_glob + interaction + spnonincumbent_samegroup + year_fe2 + year_fe3 + year_fe4 +  year_fe5 + year_fe6 + </span></a>
<a class="sourceLine" id="cb189-4" data-line-number="4"><span class="st">year_fe7 +  year_fe8 +  year_fe9 +  year_fe10 + year_fe11 + year_fe12 + year_fe13 + year_fe14 + year_fe15 + year_fe16 + year_fe17 + year_fe18 + year_fe19 + year_fe20 + year_fe21 + year_fe22 + year_fe23 + year_fe24 + year_fe25 + year_fe26 + year_fe27 + year_fe28 + year_fe29 + year_fe30 + </span></a>
<a class="sourceLine" id="cb189-5" data-line-number="5"><span class="st">year_fe31 + year_fe32 + year_fe33 + year_fe34 +&quot;</span> , <span class="kw">paste</span>(partyfx, <span class="dt">collapse=</span> <span class="st">&quot;+&quot;</span>)))</a>
<a class="sourceLine" id="cb189-6" data-line-number="6"></a>
<a class="sourceLine" id="cb189-7" data-line-number="7"></a>
<a class="sourceLine" id="cb189-8" data-line-number="8">model_op2 &lt;-<span class="st"> </span><span class="kw">lm</span>(model_op2, <span class="dt">data =</span> dataframe_opp)</a>
<a class="sourceLine" id="cb189-9" data-line-number="9"><span class="kw">summary</span>(model_op2)</a></code></pre></div>
<pre><code>## 
## Call:
## lm(formula = model_op2, data = dataframe_opp)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.93529 -0.09751 -0.00134  0.10690  2.08690 
## 
## Coefficients:
##                            Estimate Std. Error t value Pr(&gt;|t|)    
## (Intercept)              -1.030e+00  8.198e-01  -1.256 0.209183    
## lag_rile                  7.515e-01  1.289e-02  58.282  &lt; 2e-16 ***
## lag_cmedian               4.400e-01  1.580e-01   2.785 0.005402 ** 
## lag_econ_glob             2.766e-02  1.125e-02   2.458 0.014058 *  
## interaction              -5.813e-03  2.113e-03  -2.751 0.005984 ** 
## spnonincumbent_samegroup -7.885e-05  1.164e-04  -0.677 0.498164    
## year_fe2                  4.100e-02  6.746e-02   0.608 0.543394    
## year_fe3                  1.904e-02  6.680e-02   0.285 0.775618    
## year_fe4                  5.485e-02  6.714e-02   0.817 0.414018    
## year_fe5                  1.105e-01  6.725e-02   1.643 0.100424    
## year_fe6                  1.220e-01  6.727e-02   1.814 0.069875 .  
## year_fe7                  8.861e-02  6.750e-02   1.313 0.189421    
## year_fe8                  1.148e-01  6.665e-02   1.722 0.085168 .  
## year_fe9                  4.338e-02  6.725e-02   0.645 0.518958    
## year_fe10                 1.409e-01  6.504e-02   2.166 0.030410 *  
## year_fe11                 1.361e-01  6.476e-02   2.102 0.035656 *  
## year_fe12                 1.425e-01  6.451e-02   2.210 0.027218 *  
## year_fe13                 1.712e-01  6.540e-02   2.617 0.008914 ** 
## year_fe14                 1.369e-01  6.694e-02   2.045 0.040933 *  
## year_fe15                -1.688e-02  6.765e-02  -0.249 0.803005    
## year_fe16                 8.611e-02  6.886e-02   1.250 0.211251    
## year_fe17                 7.722e-02  6.905e-02   1.118 0.263545    
## year_fe18                 1.169e-01  7.068e-02   1.654 0.098284 .  
## year_fe19                 1.167e-01  7.224e-02   1.616 0.106220    
## year_fe20                 1.855e-01  7.092e-02   2.616 0.008952 ** 
## year_fe21                 1.486e-01  7.292e-02   2.038 0.041671 *  
## year_fe22                 1.418e-01  7.619e-02   1.861 0.062928 .  
## year_fe23                 9.010e-02  7.902e-02   1.140 0.254294    
## year_fe24                 9.349e-02  7.978e-02   1.172 0.241384    
## year_fe25                 1.270e-01  8.434e-02   1.506 0.132232    
## year_fe26                 1.034e-01  8.262e-02   1.252 0.210776    
## year_fe27                 7.311e-02  8.050e-02   0.908 0.363907    
## year_fe28                 1.214e-01  8.047e-02   1.509 0.131477    
## year_fe29                 7.369e-02  8.079e-02   0.912 0.361761    
## year_fe30                 4.850e-02  7.779e-02   0.623 0.533015    
## year_fe31                 6.537e-02  7.990e-02   0.818 0.413353    
## year_fe32                 3.766e-02  8.149e-02   0.462 0.644044    
## year_fe33                 6.648e-02  7.863e-02   0.845 0.397964    
## year_fe34                 7.734e-02  7.807e-02   0.991 0.321943    
## party_fe2                -8.803e-02  1.188e-01  -0.741 0.458885    
## party_fe3                -1.391e-02  1.191e-01  -0.117 0.907001    
## party_fe4                 3.017e-01  1.201e-01   2.512 0.012068 *  
## party_fe5                 2.872e-01  1.199e-01   2.396 0.016640 *  
## party_fe6                 4.515e-01  1.224e-01   3.690 0.000229 ***
## party_fe7                -1.301e-01  1.441e-01  -0.903 0.366621    
## party_fe8                -1.941e-02  1.439e-01  -0.135 0.892679    
## party_fe9                 1.128e-01  1.437e-01   0.785 0.432561    
## party_fe10                1.670e-01  1.438e-01   1.162 0.245367    
## party_fe11                3.371e-01  1.444e-01   2.335 0.019638 *  
## party_fe12                1.485e-01  2.066e-01   0.719 0.472361    
## party_fe13               -1.204e-01  1.349e-01  -0.893 0.372036    
## party_fe14               -2.527e-01  1.315e-01  -1.921 0.054850 .  
## party_fe15               -6.084e-02  1.174e-01  -0.518 0.604367    
## party_fe16               -1.516e-01  1.016e-01  -1.492 0.135844    
## party_fe17                5.540e-02  1.017e-01   0.545 0.585959    
## party_fe18                4.176e-01  1.096e-01   3.812 0.000141 ***
## party_fe19                9.945e-02  1.017e-01   0.978 0.328092    
## party_fe20                4.856e-01  1.049e-01   4.631 3.82e-06 ***
## party_fe21                4.000e-01  1.061e-01   3.771 0.000167 ***
## party_fe22                4.259e-01  1.043e-01   4.083 4.59e-05 ***
## party_fe23                5.711e-01  1.295e-01   4.408 1.09e-05 ***
## party_fe24                3.401e-03  1.185e-01   0.029 0.977099    
## party_fe25               -2.162e-01  1.187e-01  -1.821 0.068670 .  
## party_fe26               -7.828e-03  1.187e-01  -0.066 0.947408    
## party_fe27                1.184e-01  3.394e-01   0.349 0.727301    
## party_fe28                3.325e-01  2.086e-01   1.594 0.111004    
## party_fe29                2.453e-01  1.204e-01   2.038 0.041691 *  
## party_fe30                2.443e-01  1.205e-01   2.028 0.042679 *  
## party_fe31                8.099e-02  1.054e-01   0.769 0.442184    
## party_fe32                1.644e-01  1.055e-01   1.559 0.119167    
## party_fe33                2.231e-01  1.582e-01   1.411 0.158429    
## party_fe34                1.039e-01  1.058e-01   0.983 0.325933    
## party_fe35                1.638e-02  1.039e-01   0.158 0.874680    
## party_fe36                7.811e-02  2.459e-01   0.318 0.750763    
## party_fe37                3.528e-01  1.044e-01   3.378 0.000742 ***
## party_fe38                3.598e-01  1.187e-01   3.032 0.002456 ** 
## party_fe39                1.526e-01  2.071e-01   0.737 0.461392    
## party_fe40                3.086e-01  1.874e-01   1.647 0.099764 .  
## party_fe41                1.499e-01  2.070e-01   0.724 0.469131    
## party_fe42                1.616e-01  1.498e-01   1.079 0.280771    
## party_fe43                7.619e-01  2.095e-01   3.636 0.000282 ***
## party_fe44                3.066e-01  1.038e-01   2.953 0.003179 ** 
## party_fe45                1.570e-01  1.033e-01   1.520 0.128741    
## party_fe46                1.591e-01  1.115e-01   1.428 0.153544    
## party_fe47                7.873e-02  1.180e-01   0.667 0.504658    
## party_fe48                7.876e-02  1.295e-01   0.608 0.543125    
## party_fe49                1.022e-01  1.034e-01   0.988 0.323091    
## party_fe50                1.816e-01  1.033e-01   1.759 0.078719 .  
## party_fe51                3.964e-01  1.051e-01   3.771 0.000166 ***
## party_fe52               -1.632e-01  2.068e-01  -0.790 0.429870    
## party_fe53                2.091e-01  1.042e-01   2.007 0.044890 *  
## party_fe54                1.208e-01  1.859e-01   0.650 0.515974    
## party_fe55                5.133e-01  1.452e-01   3.535 0.000415 ***
## party_fe56                1.641e-01  2.072e-01   0.792 0.428525    
## party_fe57                4.156e-01  1.877e-01   2.215 0.026878 *  
## party_fe58                8.942e-02  1.887e-01   0.474 0.635566    
## party_fe59                1.151e-02  1.449e-01   0.079 0.936664    
## party_fe60                1.415e-01  1.409e-01   1.005 0.315208    
## party_fe61                4.913e-02  1.582e-01   0.311 0.756167    
## party_fe62               -2.744e-01  1.264e-01  -2.170 0.030101 *  
## party_fe63               -2.071e-01  3.376e-01  -0.614 0.539558    
## party_fe64                1.236e-02  1.074e-01   0.115 0.908437    
## party_fe65                2.712e-01  1.080e-01   2.510 0.012129 *  
## party_fe66                1.633e-01  1.077e-01   1.516 0.129522    
## party_fe67               -6.518e-02  1.227e-01  -0.531 0.595325    
## party_fe68                1.945e-01  1.895e-01   1.026 0.304881    
## party_fe69               -1.640e-01  1.116e-01  -1.470 0.141670    
## party_fe70               -1.570e-02  1.115e-01  -0.141 0.888004    
## party_fe71                2.417e-01  3.444e-01   0.702 0.482940    
## party_fe72                1.556e-01  3.443e-01   0.452 0.651407    
## party_fe73                3.342e-01  1.189e-01   2.811 0.004982 ** 
## party_fe74                3.644e-01  1.299e-01   2.806 0.005057 ** 
## party_fe75                2.597e-01  1.127e-01   2.303 0.021352 *  
## party_fe76                1.017e-01  1.474e-01   0.689 0.490600    
## party_fe77                6.154e-01  1.196e-01   5.146 2.87e-07 ***
## party_fe78                3.992e-01  2.489e-01   1.604 0.108810    
## party_fe79                1.045e-01  1.266e-01   0.826 0.408953    
## party_fe80                1.268e-01  1.860e-01   0.682 0.495464    
## party_fe81                1.041e-01  1.459e-01   0.713 0.475811    
## party_fe82               -3.173e-02  1.523e-01  -0.208 0.834987    
## party_fe83               -8.493e-02  1.226e-01  -0.693 0.488495    
## party_fe84                4.454e-02  1.602e-01   0.278 0.781022    
## party_fe85                1.635e-01  1.122e-01   1.457 0.145211    
## party_fe86                4.033e-02  3.382e-01   0.119 0.905065    
## party_fe87                5.896e-01  1.203e-01   4.902 1.01e-06 ***
## party_fe88                2.414e-01  1.244e-01   1.941 0.052323 .  
## party_fe89                5.811e-01  1.875e-01   3.099 0.001965 ** 
## party_fe90                4.363e-02  1.602e-01   0.272 0.785381    
## party_fe91                2.885e-01  1.282e-01   2.250 0.024535 *  
## party_fe92                5.008e-01  1.292e-01   3.877 0.000109 ***
## party_fe93                3.704e-01  1.287e-01   2.879 0.004022 ** 
## party_fe94                1.268e-01  1.860e-01   0.682 0.495464    
## party_fe95                2.353e-01  2.483e-01   0.948 0.343434    
## party_fe96                3.308e-01  1.176e-01   2.813 0.004948 ** 
## party_fe97                5.716e-01  1.878e-01   3.044 0.002359 ** 
## party_fe98                4.205e-01  1.871e-01   2.247 0.024710 *  
## party_fe99                2.989e-01  3.397e-01   0.880 0.378989    
## party_fe100               6.535e-01  1.614e-01   4.048 5.34e-05 ***
## party_fe101              -2.247e-01  1.877e-01  -1.197 0.231308    
## party_fe102               6.701e-01  1.307e-01   5.126 3.19e-07 ***
## party_fe103               7.084e-01  1.619e-01   4.376 1.26e-05 ***
## party_fe104               4.205e-01  1.871e-01   2.247 0.024710 *  
## party_fe105               4.790e-01  1.124e-01   4.263 2.09e-05 ***
## party_fe106               3.597e-01  1.191e-01   3.020 0.002556 ** 
## party_fe107               2.416e-01  1.407e-01   1.717 0.086019 .  
## party_fe108              -7.320e-02  1.127e-01  -0.650 0.515905    
## party_fe109               4.419e-03  1.126e-01   0.039 0.968703    
## party_fe110               8.059e-02  2.143e-01   0.376 0.706893    
## party_fe111               2.091e-01  2.526e-01   0.828 0.407787    
## party_fe112               2.799e-02  1.422e-01   0.197 0.843985    
## party_fe113               2.188e-01  1.134e-01   1.930 0.053783 .  
## party_fe114               1.671e-01  1.128e-01   1.481 0.138808    
## party_fe115               5.639e-03  2.487e-01   0.023 0.981917    
## party_fe116               1.264e-01  1.175e-01   1.076 0.281849    
## party_fe117              -2.846e-02  1.376e-01  -0.207 0.836108    
## party_fe118              -4.087e-02  1.136e-01  -0.360 0.718966    
## party_fe119              -3.373e-02  2.111e-01  -0.160 0.873051    
## party_fe120               2.141e-01  1.142e-01   1.874 0.061107 .  
## party_fe121               3.620e-01  1.647e-01   2.197 0.028109 *  
## party_fe122               2.148e-01  1.265e-01   1.699 0.089531 .  
## party_fe123               3.367e-01  1.733e-01   1.943 0.052171 .  
## party_fe124              -6.354e-02  1.302e-01  -0.488 0.625537    
## party_fe125              -5.950e-03  1.094e-01  -0.054 0.956621    
## party_fe126              -6.824e-02  1.176e-01  -0.580 0.561649    
## party_fe127              -2.181e-01  3.396e-01  -0.642 0.520913    
## party_fe128              -2.025e-03  1.095e-01  -0.018 0.985247    
## party_fe129               3.089e-01  1.739e-01   1.776 0.075838 .  
## party_fe130               2.046e-01  1.102e-01   1.857 0.063459 .  
## party_fe131               4.605e-01  2.121e-01   2.170 0.030064 *  
## party_fe132               1.952e-01  1.099e-01   1.777 0.075637 .  
## party_fe133              -1.858e-02  1.113e-01  -0.167 0.867440    
## party_fe134              -1.511e-01  1.273e-01  -1.186 0.235588    
## party_fe135              -1.078e-01  2.087e-01  -0.517 0.605549    
## party_fe136              -5.097e-02  3.389e-01  -0.150 0.880470    
## party_fe137               2.394e-02  1.087e-01   0.220 0.825637    
## party_fe138               2.123e-01  1.089e-01   1.950 0.051275 .  
## party_fe139               3.670e-01  1.104e-01   3.325 0.000899 ***
## party_fe140               1.010e-01  1.193e-01   0.847 0.397159    
## party_fe141              -4.162e-03  1.683e-01  -0.025 0.980266    
## party_fe142               2.343e-02  1.193e-01   0.196 0.844330    
## party_fe143               2.154e-01  1.205e-01   1.787 0.074088 .  
## party_fe144               8.703e-01  2.120e-01   4.105 4.18e-05 ***
## party_fe145               2.403e-01  1.210e-01   1.986 0.047193 *  
## party_fe146               1.374e-01  1.838e-01   0.748 0.454796    
## party_fe147               1.133e-01  1.509e-01   0.751 0.452789    
## party_fe148               4.825e-02  1.031e-01   0.468 0.639786    
## party_fe149               1.365e-01  1.443e-01   0.946 0.344020    
## party_fe150               1.217e-01  1.030e-01   1.181 0.237671    
## party_fe151               4.571e-01  1.056e-01   4.330 1.55e-05 ***
## party_fe152               2.024e-01  1.284e-01   1.577 0.114904    
## party_fe153               5.464e-02  1.113e-01   0.491 0.623561    
## party_fe154              -9.665e-02  1.333e-01  -0.725 0.468599    
## party_fe155               8.787e-02  1.387e-01   0.633 0.526566    
## party_fe156               4.691e-02  1.037e-01   0.453 0.650892    
## party_fe157               3.101e-01  1.109e-01   2.797 0.005203 ** 
## party_fe158               2.843e-01  1.046e-01   2.719 0.006599 ** 
## party_fe159               1.224e-01  1.040e-01   1.176 0.239704    
## party_fe160               1.076e-01  3.371e-01   0.319 0.749626    
## party_fe161               8.001e-02  3.371e-01   0.237 0.812405    
## party_fe162               1.756e-01  3.372e-01   0.521 0.602583    
## party_fe163               1.999e-01  3.372e-01   0.593 0.553364    
## party_fe164              -1.001e-03  2.096e-01  -0.005 0.996191    
## party_fe165              -2.252e-01  1.876e-01  -1.201 0.230037    
## party_fe166               3.889e-01  1.885e-01   2.064 0.039152 *  
## party_fe167               3.846e-01  2.103e-01   1.829 0.067553 .  
## party_fe168               3.718e-01  2.103e-01   1.768 0.077146 .  
## party_fe169               1.694e-01  1.876e-01   0.903 0.366849    
## party_fe170               1.136e-01  1.847e-01   0.615 0.538711    
## party_fe171              -3.398e-02  1.585e-01  -0.214 0.830278    
## party_fe172               1.540e-01  1.587e-01   0.970 0.332087    
## party_fe173               3.783e-01  1.614e-01   2.344 0.019171 *  
## party_fe174               3.026e-01  1.849e-01   1.636 0.101941    
## party_fe175               3.643e-01  3.377e-01   1.079 0.280765    
## party_fe176               4.899e-01  3.381e-01   1.449 0.147429    
## party_fe177               1.744e-01  2.095e-01   0.833 0.405135    
## party_fe178               2.066e-01  1.603e-01   1.289 0.197614    
## party_fe179              -5.870e-02  1.599e-01  -0.367 0.713623    
## party_fe180               4.086e-01  1.610e-01   2.538 0.011216 *  
## party_fe181               4.040e-01  1.607e-01   2.514 0.012009 *  
## party_fe182               5.865e-01  2.477e-01   2.367 0.017998 *  
## party_fe183               2.551e-01  1.845e-01   1.383 0.166846    
## party_fe184               2.274e-01  1.584e-01   1.436 0.151242    
## party_fe185               5.115e-02  1.843e-01   0.277 0.781424    
## party_fe186               1.377e-01  1.582e-01   0.870 0.384154    
## party_fe187               4.396e-01  1.694e-01   2.596 0.009500 ** 
## party_fe188               4.936e-01  1.693e-01   2.916 0.003577 ** 
## party_fe189               2.262e-01  3.401e-01   0.665 0.506163    
## party_fe190               2.617e-01  3.402e-01   0.769 0.441868    
## party_fe191               1.435e-01  3.400e-01   0.422 0.673044    
## party_fe192               2.969e-01  3.403e-01   0.872 0.383030    
## party_fe193               2.995e-01  3.403e-01   0.880 0.378787    
## party_fe194               3.331e-01  3.403e-01   0.979 0.327851    
## party_fe195               2.139e-01  3.415e-01   0.627 0.531025    
## party_fe196               3.624e-01  1.656e-01   2.188 0.028737 *  
## party_fe197               3.197e-01  1.656e-01   1.930 0.053693 .  
## party_fe198               9.456e-02  2.510e-01   0.377 0.706395    
## party_fe199               3.226e-01  2.544e-01   1.268 0.204792    
## party_fe200               2.398e-01  2.538e-01   0.945 0.344814    
## party_fe201               1.245e-01  3.370e-01   0.369 0.711797    
## party_fe202               1.619e-01  3.371e-01   0.480 0.630938    
## party_fe203              -6.069e-02  1.578e-01  -0.385 0.700623    
## party_fe204               4.485e-01  3.377e-01   1.328 0.184253    
## party_fe205               4.801e-01  1.605e-01   2.992 0.002801 ** 
## party_fe206               7.871e-02  1.590e-01   0.495 0.620527    
## party_fe207               4.063e-01  1.846e-01   2.201 0.027805 *  
## party_fe208               2.695e-01  1.586e-01   1.699 0.089366 .  
## party_fe209               1.182e-01  1.595e-01   0.741 0.458686    
## party_fe210               1.739e-01  1.596e-01   1.090 0.275912    
## party_fe211               3.069e-01  1.595e-01   1.925 0.054394 .  
## party_fe212               9.711e-02  2.465e-01   0.394 0.693684    
## party_fe213               2.456e-01  1.597e-01   1.538 0.124239    
## party_fe214               1.788e-01  1.595e-01   1.121 0.262395    
## party_fe215               3.834e-01  1.606e-01   2.387 0.017067 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3248 on 2465 degrees of freedom
## Multiple R-squared:  0.8878, Adjusted R-squared:  0.8764 
## F-statistic: 77.42 on 252 and 2465 DF,  p-value: &lt; 2.2e-16</code></pre>
<div class="sourceCode" id="cb191"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb191-1" data-line-number="1"><span class="kw">stargazer</span>(model_op2)</a></code></pre></div>
<pre><code>## 
## % Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
## % Date and time: Fri, Aug 28, 2020 - 09:55:20
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{1}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-2} 
## \\[-1.8ex] &amp; rile \\ 
## \hline \\[-1.8ex] 
##  lag\_rile &amp; 0.752$^{***}$ \\ 
##   &amp; (0.013) \\ 
##   &amp; \\ 
##  lag\_cmedian &amp; 0.440$^{***}$ \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  lag\_econ\_glob &amp; 0.028$^{**}$ \\ 
##   &amp; (0.011) \\ 
##   &amp; \\ 
##  interaction &amp; $-$0.006$^{***}$ \\ 
##   &amp; (0.002) \\ 
##   &amp; \\ 
##  spnonincumbent\_samegroup &amp; $-$0.0001 \\ 
##   &amp; (0.0001) \\ 
##   &amp; \\ 
##  year\_fe2 &amp; 0.041 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe3 &amp; 0.019 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe4 &amp; 0.055 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe5 &amp; 0.111 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe6 &amp; 0.122$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe7 &amp; 0.089 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe8 &amp; 0.115$^{*}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe9 &amp; 0.043 \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe10 &amp; 0.141$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe11 &amp; 0.136$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe12 &amp; 0.143$^{**}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe13 &amp; 0.171$^{***}$ \\ 
##   &amp; (0.065) \\ 
##   &amp; \\ 
##  year\_fe14 &amp; 0.137$^{**}$ \\ 
##   &amp; (0.067) \\ 
##   &amp; \\ 
##  year\_fe15 &amp; $-$0.017 \\ 
##   &amp; (0.068) \\ 
##   &amp; \\ 
##  year\_fe16 &amp; 0.086 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe17 &amp; 0.077 \\ 
##   &amp; (0.069) \\ 
##   &amp; \\ 
##  year\_fe18 &amp; 0.117$^{*}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe19 &amp; 0.117 \\ 
##   &amp; (0.072) \\ 
##   &amp; \\ 
##  year\_fe20 &amp; 0.186$^{***}$ \\ 
##   &amp; (0.071) \\ 
##   &amp; \\ 
##  year\_fe21 &amp; 0.149$^{**}$ \\ 
##   &amp; (0.073) \\ 
##   &amp; \\ 
##  year\_fe22 &amp; 0.142$^{*}$ \\ 
##   &amp; (0.076) \\ 
##   &amp; \\ 
##  year\_fe23 &amp; 0.090 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe24 &amp; 0.093 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe25 &amp; 0.127 \\ 
##   &amp; (0.084) \\ 
##   &amp; \\ 
##  year\_fe26 &amp; 0.103 \\ 
##   &amp; (0.083) \\ 
##   &amp; \\ 
##  year\_fe27 &amp; 0.073 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe28 &amp; 0.121 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe29 &amp; 0.074 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe30 &amp; 0.049 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  year\_fe31 &amp; 0.065 \\ 
##   &amp; (0.080) \\ 
##   &amp; \\ 
##  year\_fe32 &amp; 0.038 \\ 
##   &amp; (0.081) \\ 
##   &amp; \\ 
##  year\_fe33 &amp; 0.066 \\ 
##   &amp; (0.079) \\ 
##   &amp; \\ 
##  year\_fe34 &amp; 0.077 \\ 
##   &amp; (0.078) \\ 
##   &amp; \\ 
##  party\_fe2 &amp; $-$0.088 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe3 &amp; $-$0.014 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe4 &amp; 0.302$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe5 &amp; 0.287$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe6 &amp; 0.451$^{***}$ \\ 
##   &amp; (0.122) \\ 
##   &amp; \\ 
##  party\_fe7 &amp; $-$0.130 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe8 &amp; $-$0.019 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe9 &amp; 0.113 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe10 &amp; 0.167 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe11 &amp; 0.337$^{**}$ \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe12 &amp; 0.148 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe13 &amp; $-$0.120 \\ 
##   &amp; (0.135) \\ 
##   &amp; \\ 
##  party\_fe14 &amp; $-$0.253$^{*}$ \\ 
##   &amp; (0.132) \\ 
##   &amp; \\ 
##  party\_fe15 &amp; $-$0.061 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe16 &amp; $-$0.152 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe17 &amp; 0.055 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe18 &amp; 0.418$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe19 &amp; 0.099 \\ 
##   &amp; (0.102) \\ 
##   &amp; \\ 
##  party\_fe20 &amp; 0.486$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe21 &amp; 0.400$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe22 &amp; 0.426$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe23 &amp; 0.571$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe24 &amp; 0.003 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe25 &amp; $-$0.216$^{*}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe26 &amp; $-$0.008 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe27 &amp; 0.118 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe28 &amp; 0.333 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe29 &amp; 0.245$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe30 &amp; 0.244$^{**}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe31 &amp; 0.081 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe32 &amp; 0.164 \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe33 &amp; 0.223 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe34 &amp; 0.104 \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe35 &amp; 0.016 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe36 &amp; 0.078 \\ 
##   &amp; (0.246) \\ 
##   &amp; \\ 
##  party\_fe37 &amp; 0.353$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe38 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe39 &amp; 0.153 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe40 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe41 &amp; 0.150 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe42 &amp; 0.162 \\ 
##   &amp; (0.150) \\ 
##   &amp; \\ 
##  party\_fe43 &amp; 0.762$^{***}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe44 &amp; 0.307$^{***}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe45 &amp; 0.157 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe46 &amp; 0.159 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe47 &amp; 0.079 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe48 &amp; 0.079 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe49 &amp; 0.102 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe50 &amp; 0.182$^{*}$ \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe51 &amp; 0.396$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe52 &amp; $-$0.163 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe53 &amp; 0.209$^{**}$ \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe54 &amp; 0.121 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe55 &amp; 0.513$^{***}$ \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe56 &amp; 0.164 \\ 
##   &amp; (0.207) \\ 
##   &amp; \\ 
##  party\_fe57 &amp; 0.416$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe58 &amp; 0.089 \\ 
##   &amp; (0.189) \\ 
##   &amp; \\ 
##  party\_fe59 &amp; 0.012 \\ 
##   &amp; (0.145) \\ 
##   &amp; \\ 
##  party\_fe60 &amp; 0.142 \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe61 &amp; 0.049 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe62 &amp; $-$0.274$^{**}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe63 &amp; $-$0.207 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe64 &amp; 0.012 \\ 
##   &amp; (0.107) \\ 
##   &amp; \\ 
##  party\_fe65 &amp; 0.271$^{**}$ \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe66 &amp; 0.163 \\ 
##   &amp; (0.108) \\ 
##   &amp; \\ 
##  party\_fe67 &amp; $-$0.065 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe68 &amp; 0.194 \\ 
##   &amp; (0.190) \\ 
##   &amp; \\ 
##  party\_fe69 &amp; $-$0.164 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe70 &amp; $-$0.016 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe71 &amp; 0.242 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe72 &amp; 0.156 \\ 
##   &amp; (0.344) \\ 
##   &amp; \\ 
##  party\_fe73 &amp; 0.334$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe74 &amp; 0.364$^{***}$ \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe75 &amp; 0.260$^{**}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe76 &amp; 0.102 \\ 
##   &amp; (0.147) \\ 
##   &amp; \\ 
##  party\_fe77 &amp; 0.615$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe78 &amp; 0.399 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe79 &amp; 0.105 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe80 &amp; 0.127 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe81 &amp; 0.104 \\ 
##   &amp; (0.146) \\ 
##   &amp; \\ 
##  party\_fe82 &amp; $-$0.032 \\ 
##   &amp; (0.152) \\ 
##   &amp; \\ 
##  party\_fe83 &amp; $-$0.085 \\ 
##   &amp; (0.123) \\ 
##   &amp; \\ 
##  party\_fe84 &amp; 0.045 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe85 &amp; 0.163 \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe86 &amp; 0.040 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe87 &amp; 0.590$^{***}$ \\ 
##   &amp; (0.120) \\ 
##   &amp; \\ 
##  party\_fe88 &amp; 0.241$^{*}$ \\ 
##   &amp; (0.124) \\ 
##   &amp; \\ 
##  party\_fe89 &amp; 0.581$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe90 &amp; 0.044 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe91 &amp; 0.288$^{**}$ \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe92 &amp; 0.501$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe93 &amp; 0.370$^{***}$ \\ 
##   &amp; (0.129) \\ 
##   &amp; \\ 
##  party\_fe94 &amp; 0.127 \\ 
##   &amp; (0.186) \\ 
##   &amp; \\ 
##  party\_fe95 &amp; 0.235 \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe96 &amp; 0.331$^{***}$ \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe97 &amp; 0.572$^{***}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe98 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe99 &amp; 0.299 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe100 &amp; 0.653$^{***}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe101 &amp; $-$0.225 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe102 &amp; 0.670$^{***}$ \\ 
##   &amp; (0.131) \\ 
##   &amp; \\ 
##  party\_fe103 &amp; 0.708$^{***}$ \\ 
##   &amp; (0.162) \\ 
##   &amp; \\ 
##  party\_fe104 &amp; 0.420$^{**}$ \\ 
##   &amp; (0.187) \\ 
##   &amp; \\ 
##  party\_fe105 &amp; 0.479$^{***}$ \\ 
##   &amp; (0.112) \\ 
##   &amp; \\ 
##  party\_fe106 &amp; 0.360$^{***}$ \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe107 &amp; 0.242$^{*}$ \\ 
##   &amp; (0.141) \\ 
##   &amp; \\ 
##  party\_fe108 &amp; $-$0.073 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe109 &amp; 0.004 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe110 &amp; 0.081 \\ 
##   &amp; (0.214) \\ 
##   &amp; \\ 
##  party\_fe111 &amp; 0.209 \\ 
##   &amp; (0.253) \\ 
##   &amp; \\ 
##  party\_fe112 &amp; 0.028 \\ 
##   &amp; (0.142) \\ 
##   &amp; \\ 
##  party\_fe113 &amp; 0.219$^{*}$ \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe114 &amp; 0.167 \\ 
##   &amp; (0.113) \\ 
##   &amp; \\ 
##  party\_fe115 &amp; 0.006 \\ 
##   &amp; (0.249) \\ 
##   &amp; \\ 
##  party\_fe116 &amp; 0.126 \\ 
##   &amp; (0.117) \\ 
##   &amp; \\ 
##  party\_fe117 &amp; $-$0.028 \\ 
##   &amp; (0.138) \\ 
##   &amp; \\ 
##  party\_fe118 &amp; $-$0.041 \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe119 &amp; $-$0.034 \\ 
##   &amp; (0.211) \\ 
##   &amp; \\ 
##  party\_fe120 &amp; 0.214$^{*}$ \\ 
##   &amp; (0.114) \\ 
##   &amp; \\ 
##  party\_fe121 &amp; 0.362$^{**}$ \\ 
##   &amp; (0.165) \\ 
##   &amp; \\ 
##  party\_fe122 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.126) \\ 
##   &amp; \\ 
##  party\_fe123 &amp; 0.337$^{*}$ \\ 
##   &amp; (0.173) \\ 
##   &amp; \\ 
##  party\_fe124 &amp; $-$0.064 \\ 
##   &amp; (0.130) \\ 
##   &amp; \\ 
##  party\_fe125 &amp; $-$0.006 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe126 &amp; $-$0.068 \\ 
##   &amp; (0.118) \\ 
##   &amp; \\ 
##  party\_fe127 &amp; $-$0.218 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe128 &amp; $-$0.002 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe129 &amp; 0.309$^{*}$ \\ 
##   &amp; (0.174) \\ 
##   &amp; \\ 
##  party\_fe130 &amp; 0.205$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe131 &amp; 0.460$^{**}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe132 &amp; 0.195$^{*}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe133 &amp; $-$0.019 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe134 &amp; $-$0.151 \\ 
##   &amp; (0.127) \\ 
##   &amp; \\ 
##  party\_fe135 &amp; $-$0.108 \\ 
##   &amp; (0.209) \\ 
##   &amp; \\ 
##  party\_fe136 &amp; $-$0.051 \\ 
##   &amp; (0.339) \\ 
##   &amp; \\ 
##  party\_fe137 &amp; 0.024 \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe138 &amp; 0.212$^{*}$ \\ 
##   &amp; (0.109) \\ 
##   &amp; \\ 
##  party\_fe139 &amp; 0.367$^{***}$ \\ 
##   &amp; (0.110) \\ 
##   &amp; \\ 
##  party\_fe140 &amp; 0.101 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe141 &amp; $-$0.004 \\ 
##   &amp; (0.168) \\ 
##   &amp; \\ 
##  party\_fe142 &amp; 0.023 \\ 
##   &amp; (0.119) \\ 
##   &amp; \\ 
##  party\_fe143 &amp; 0.215$^{*}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe144 &amp; 0.870$^{***}$ \\ 
##   &amp; (0.212) \\ 
##   &amp; \\ 
##  party\_fe145 &amp; 0.240$^{**}$ \\ 
##   &amp; (0.121) \\ 
##   &amp; \\ 
##  party\_fe146 &amp; 0.137 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe147 &amp; 0.113 \\ 
##   &amp; (0.151) \\ 
##   &amp; \\ 
##  party\_fe148 &amp; 0.048 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe149 &amp; 0.137 \\ 
##   &amp; (0.144) \\ 
##   &amp; \\ 
##  party\_fe150 &amp; 0.122 \\ 
##   &amp; (0.103) \\ 
##   &amp; \\ 
##  party\_fe151 &amp; 0.457$^{***}$ \\ 
##   &amp; (0.106) \\ 
##   &amp; \\ 
##  party\_fe152 &amp; 0.202 \\ 
##   &amp; (0.128) \\ 
##   &amp; \\ 
##  party\_fe153 &amp; 0.055 \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe154 &amp; $-$0.097 \\ 
##   &amp; (0.133) \\ 
##   &amp; \\ 
##  party\_fe155 &amp; 0.088 \\ 
##   &amp; (0.139) \\ 
##   &amp; \\ 
##  party\_fe156 &amp; 0.047 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe157 &amp; 0.310$^{***}$ \\ 
##   &amp; (0.111) \\ 
##   &amp; \\ 
##  party\_fe158 &amp; 0.284$^{***}$ \\ 
##   &amp; (0.105) \\ 
##   &amp; \\ 
##  party\_fe159 &amp; 0.122 \\ 
##   &amp; (0.104) \\ 
##   &amp; \\ 
##  party\_fe160 &amp; 0.108 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe161 &amp; 0.080 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe162 &amp; 0.176 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe163 &amp; 0.200 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe164 &amp; $-$0.001 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe165 &amp; $-$0.225 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe166 &amp; 0.389$^{**}$ \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe167 &amp; 0.385$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe168 &amp; 0.372$^{*}$ \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe169 &amp; 0.169 \\ 
##   &amp; (0.188) \\ 
##   &amp; \\ 
##  party\_fe170 &amp; 0.114 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe171 &amp; $-$0.034 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe172 &amp; 0.154 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe173 &amp; 0.378$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe174 &amp; 0.303 \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe175 &amp; 0.364 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe176 &amp; 0.490 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe177 &amp; 0.174 \\ 
##   &amp; (0.210) \\ 
##   &amp; \\ 
##  party\_fe178 &amp; 0.207 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe179 &amp; $-$0.059 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe180 &amp; 0.409$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe181 &amp; 0.404$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  party\_fe182 &amp; 0.586$^{**}$ \\ 
##   &amp; (0.248) \\ 
##   &amp; \\ 
##  party\_fe183 &amp; 0.255 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe184 &amp; 0.227 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe185 &amp; 0.051 \\ 
##   &amp; (0.184) \\ 
##   &amp; \\ 
##  party\_fe186 &amp; 0.138 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe187 &amp; 0.440$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe188 &amp; 0.494$^{***}$ \\ 
##   &amp; (0.169) \\ 
##   &amp; \\ 
##  party\_fe189 &amp; 0.226 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe190 &amp; 0.262 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe191 &amp; 0.143 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe192 &amp; 0.297 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe193 &amp; 0.300 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe194 &amp; 0.333 \\ 
##   &amp; (0.340) \\ 
##   &amp; \\ 
##  party\_fe195 &amp; 0.214 \\ 
##   &amp; (0.341) \\ 
##   &amp; \\ 
##  party\_fe196 &amp; 0.362$^{**}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe197 &amp; 0.320$^{*}$ \\ 
##   &amp; (0.166) \\ 
##   &amp; \\ 
##  party\_fe198 &amp; 0.095 \\ 
##   &amp; (0.251) \\ 
##   &amp; \\ 
##  party\_fe199 &amp; 0.323 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe200 &amp; 0.240 \\ 
##   &amp; (0.254) \\ 
##   &amp; \\ 
##  party\_fe201 &amp; 0.125 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe202 &amp; 0.162 \\ 
##   &amp; (0.337) \\ 
##   &amp; \\ 
##  party\_fe203 &amp; $-$0.061 \\ 
##   &amp; (0.158) \\ 
##   &amp; \\ 
##  party\_fe204 &amp; 0.449 \\ 
##   &amp; (0.338) \\ 
##   &amp; \\ 
##  party\_fe205 &amp; 0.480$^{***}$ \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe206 &amp; 0.079 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe207 &amp; 0.406$^{**}$ \\ 
##   &amp; (0.185) \\ 
##   &amp; \\ 
##  party\_fe208 &amp; 0.270$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe209 &amp; 0.118 \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe210 &amp; 0.174 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe211 &amp; 0.307$^{*}$ \\ 
##   &amp; (0.159) \\ 
##   &amp; \\ 
##  party\_fe212 &amp; 0.097 \\ 
##   &amp; (0.247) \\ 
##   &amp; \\ 
##  party\_fe213 &amp; 0.246 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe214 &amp; 0.179 \\ 
##   &amp; (0.160) \\ 
##   &amp; \\ 
##  party\_fe215 &amp; 0.383$^{**}$ \\ 
##   &amp; (0.161) \\ 
##   &amp; \\ 
##  Constant &amp; $-$1.030 \\ 
##   &amp; (0.820) \\ 
##   &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 2,718 \\ 
## R$^{2}$ &amp; 0.888 \\ 
## Adjusted R$^{2}$ &amp; 0.876 \\ 
## Residual Std. Error &amp; 0.325 (df = 2465) \\ 
## F Statistic &amp; 77.418$^{***}$ (df = 252; 2465) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{1}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
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